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You searched for +publisher:"Delft University of Technology" +contributor:("Reinders, M.J.T."). Showing records 1 – 30 of 45 total matches.

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Delft University of Technology

1. Meijer, R.J. Efficient approximate leave-one-out cross-validation for ridge and lasso:.

Degree: 2010, Delft University of Technology

 In this thesis an approximation method is discussed that provides similar results to leave-one-out cross-validation but is less time-consuming. By means of this approximation method,… (more)

Subjects/Keywords: cross-validation; ridge; lasso; approximation method

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APA (6th Edition):

Meijer, R. J. (2010). Efficient approximate leave-one-out cross-validation for ridge and lasso:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d9b5456d-722a-401d-9f1a-c530c46d6491

Chicago Manual of Style (16th Edition):

Meijer, R J. “Efficient approximate leave-one-out cross-validation for ridge and lasso:.” 2010. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:d9b5456d-722a-401d-9f1a-c530c46d6491.

MLA Handbook (7th Edition):

Meijer, R J. “Efficient approximate leave-one-out cross-validation for ridge and lasso:.” 2010. Web. 23 Jul 2019.

Vancouver:

Meijer RJ. Efficient approximate leave-one-out cross-validation for ridge and lasso:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:d9b5456d-722a-401d-9f1a-c530c46d6491.

Council of Science Editors:

Meijer RJ. Efficient approximate leave-one-out cross-validation for ridge and lasso:. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:d9b5456d-722a-401d-9f1a-c530c46d6491


Delft University of Technology

2. Van den Berg, B.A. Logic gene network design: a CAD tool based on modularity and standardization:.

Degree: 2009, Delft University of Technology

 Motivation: Synthetic biology aims at building biological systems for useful purposes. Relatively simple gene networks have been engineered, but the design process is limited. Many… (more)

Subjects/Keywords: synthetic biology; gene network design; gene network; logic gene network; CAD tool; modularity; standardization; bioinformatics; biological systems; design process; modular design

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APA (6th Edition):

Van den Berg, B. A. (2009). Logic gene network design: a CAD tool based on modularity and standardization:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:fff3c287-ff65-454a-8ec1-42425d94280c

Chicago Manual of Style (16th Edition):

Van den Berg, B A. “Logic gene network design: a CAD tool based on modularity and standardization:.” 2009. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:fff3c287-ff65-454a-8ec1-42425d94280c.

MLA Handbook (7th Edition):

Van den Berg, B A. “Logic gene network design: a CAD tool based on modularity and standardization:.” 2009. Web. 23 Jul 2019.

Vancouver:

Van den Berg BA. Logic gene network design: a CAD tool based on modularity and standardization:. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:fff3c287-ff65-454a-8ec1-42425d94280c.

Council of Science Editors:

Van den Berg BA. Logic gene network design: a CAD tool based on modularity and standardization:. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:fff3c287-ff65-454a-8ec1-42425d94280c


Delft University of Technology

3. Van Kouteren, H.J.W. Ibidas: to serve and to protect:.

Degree: 2009, Delft University of Technology

 In this thesis we present the database security mechanism and Web services implementation for the Ibidas system. The security mechanism restricts access to data by… (more)

Subjects/Keywords: Ibidas; data integration; web services; database security

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APA (6th Edition):

Van Kouteren, H. J. W. (2009). Ibidas: to serve and to protect:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e1984070-ee92-47cb-b6b2-5dc0b08f77cb

Chicago Manual of Style (16th Edition):

Van Kouteren, H J W. “Ibidas: to serve and to protect:.” 2009. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:e1984070-ee92-47cb-b6b2-5dc0b08f77cb.

MLA Handbook (7th Edition):

Van Kouteren, H J W. “Ibidas: to serve and to protect:.” 2009. Web. 23 Jul 2019.

Vancouver:

Van Kouteren HJW. Ibidas: to serve and to protect:. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:e1984070-ee92-47cb-b6b2-5dc0b08f77cb.

Council of Science Editors:

Van Kouteren HJW. Ibidas: to serve and to protect:. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:e1984070-ee92-47cb-b6b2-5dc0b08f77cb


Delft University of Technology

4. Sanders, M.A. Sparse multi-class prediction based on the Group Lasso in multinomial logistic regression:.

Degree: 2009, Delft University of Technology

 Continuous variable selection using shrinkage procedures have recently been considered as favorable models in a wide range of scientific research; in particular biomedical research. In… (more)

Subjects/Keywords: regression; lasso; group lasso; leukemia; multi-class

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APA (6th Edition):

Sanders, M. A. (2009). Sparse multi-class prediction based on the Group Lasso in multinomial logistic regression:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:09903120-2d84-45af-aa61-4ec3c1d1c5a3

Chicago Manual of Style (16th Edition):

Sanders, M A. “Sparse multi-class prediction based on the Group Lasso in multinomial logistic regression:.” 2009. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:09903120-2d84-45af-aa61-4ec3c1d1c5a3.

MLA Handbook (7th Edition):

Sanders, M A. “Sparse multi-class prediction based on the Group Lasso in multinomial logistic regression:.” 2009. Web. 23 Jul 2019.

Vancouver:

Sanders MA. Sparse multi-class prediction based on the Group Lasso in multinomial logistic regression:. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:09903120-2d84-45af-aa61-4ec3c1d1c5a3.

Council of Science Editors:

Sanders MA. Sparse multi-class prediction based on the Group Lasso in multinomial logistic regression:. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:09903120-2d84-45af-aa61-4ec3c1d1c5a3


Delft University of Technology

5. Gouw, M.R. Gene set–based decomposition of T-ALL with respect to normal T-cell implies two distinct T-ALL progression pathways :.

Degree: 2008, Delft University of Technology

 In this investigation a gene set–based approach is used to compare T-ALL samples to a series of chronologically ordered T-cell development stages. These results revealed… (more)

Subjects/Keywords: T-ALL; T-cell Acute Lymphoblastic leukemia; gene sets; tumorigenesis; stemness

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APA (6th Edition):

Gouw, M. R. (2008). Gene set–based decomposition of T-ALL with respect to normal T-cell implies two distinct T-ALL progression pathways :. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:567ffb5a-2ba2-46eb-a383-d645848fa477

Chicago Manual of Style (16th Edition):

Gouw, M R. “Gene set–based decomposition of T-ALL with respect to normal T-cell implies two distinct T-ALL progression pathways :.” 2008. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:567ffb5a-2ba2-46eb-a383-d645848fa477.

MLA Handbook (7th Edition):

Gouw, M R. “Gene set–based decomposition of T-ALL with respect to normal T-cell implies two distinct T-ALL progression pathways :.” 2008. Web. 23 Jul 2019.

Vancouver:

Gouw MR. Gene set–based decomposition of T-ALL with respect to normal T-cell implies two distinct T-ALL progression pathways :. [Internet] [Masters thesis]. Delft University of Technology; 2008. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:567ffb5a-2ba2-46eb-a383-d645848fa477.

Council of Science Editors:

Gouw MR. Gene set–based decomposition of T-ALL with respect to normal T-cell implies two distinct T-ALL progression pathways :. [Masters Thesis]. Delft University of Technology; 2008. Available from: http://resolver.tudelft.nl/uuid:567ffb5a-2ba2-46eb-a383-d645848fa477


Delft University of Technology

6. Van der Leije, M.R. FPGA Hardware acceleration of co-occurring aberrations in aCGH data:.

Degree: 2009, Delft University of Technology

 Unbalanced transaction can lead to addition and deletions in genes, which can be an indication of tumor cells. This is measured with array Comparative Genomic… (more)

Subjects/Keywords: FPGA; DNA

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APA (6th Edition):

Van der Leije, M. R. (2009). FPGA Hardware acceleration of co-occurring aberrations in aCGH data:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:76e3a56a-a8b2-478c-ae04-dba5c6a13a2e

Chicago Manual of Style (16th Edition):

Van der Leije, M R. “FPGA Hardware acceleration of co-occurring aberrations in aCGH data:.” 2009. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:76e3a56a-a8b2-478c-ae04-dba5c6a13a2e.

MLA Handbook (7th Edition):

Van der Leije, M R. “FPGA Hardware acceleration of co-occurring aberrations in aCGH data:.” 2009. Web. 23 Jul 2019.

Vancouver:

Van der Leije MR. FPGA Hardware acceleration of co-occurring aberrations in aCGH data:. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:76e3a56a-a8b2-478c-ae04-dba5c6a13a2e.

Council of Science Editors:

Van der Leije MR. FPGA Hardware acceleration of co-occurring aberrations in aCGH data:. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:76e3a56a-a8b2-478c-ae04-dba5c6a13a2e


Delft University of Technology

7. Witteveen, M.J. Identification and Elucidation of Expression Quantitative Trait Loci (eQTL) and their regulating mechanisms using Decodive Deep Learning:.

Degree: 2014, Delft University of Technology

 Motivation: Identification and elucidation of eQTL has long been an active area of research. Finding cis-eQTL has been a manageable problem because of the limited… (more)

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APA (6th Edition):

Witteveen, M. J. (2014). Identification and Elucidation of Expression Quantitative Trait Loci (eQTL) and their regulating mechanisms using Decodive Deep Learning:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:099bac02-8424-4dfc-9658-1fc9cdf5292d

Chicago Manual of Style (16th Edition):

Witteveen, M J. “Identification and Elucidation of Expression Quantitative Trait Loci (eQTL) and their regulating mechanisms using Decodive Deep Learning:.” 2014. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:099bac02-8424-4dfc-9658-1fc9cdf5292d.

MLA Handbook (7th Edition):

Witteveen, M J. “Identification and Elucidation of Expression Quantitative Trait Loci (eQTL) and their regulating mechanisms using Decodive Deep Learning:.” 2014. Web. 23 Jul 2019.

Vancouver:

Witteveen MJ. Identification and Elucidation of Expression Quantitative Trait Loci (eQTL) and their regulating mechanisms using Decodive Deep Learning:. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:099bac02-8424-4dfc-9658-1fc9cdf5292d.

Council of Science Editors:

Witteveen MJ. Identification and Elucidation of Expression Quantitative Trait Loci (eQTL) and their regulating mechanisms using Decodive Deep Learning:. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:099bac02-8424-4dfc-9658-1fc9cdf5292d

8. Van Beek, D.M. Detection of Copy Number Variation using Shallow Whole Genome Sequencing Data to replace Array-Comparative Genomic Hybridization Analysis:.

Degree: 2012, Delft University of Technology

 This report is made as part of the Master's Thesis project of the master Computer Science, track Bioinformatics at the Delft University of technology. The… (more)

Subjects/Keywords: Next generation sequencing; copy number variation; CNV; NGS; aCGH; shallow; sequencing; whole genome

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APA (6th Edition):

Van Beek, D. M. (2012). Detection of Copy Number Variation using Shallow Whole Genome Sequencing Data to replace Array-Comparative Genomic Hybridization Analysis:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ceb409de-9642-4637-9f51-5285c17115c4

Chicago Manual of Style (16th Edition):

Van Beek, D M. “Detection of Copy Number Variation using Shallow Whole Genome Sequencing Data to replace Array-Comparative Genomic Hybridization Analysis:.” 2012. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:ceb409de-9642-4637-9f51-5285c17115c4.

MLA Handbook (7th Edition):

Van Beek, D M. “Detection of Copy Number Variation using Shallow Whole Genome Sequencing Data to replace Array-Comparative Genomic Hybridization Analysis:.” 2012. Web. 23 Jul 2019.

Vancouver:

Van Beek DM. Detection of Copy Number Variation using Shallow Whole Genome Sequencing Data to replace Array-Comparative Genomic Hybridization Analysis:. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:ceb409de-9642-4637-9f51-5285c17115c4.

Council of Science Editors:

Van Beek DM. Detection of Copy Number Variation using Shallow Whole Genome Sequencing Data to replace Array-Comparative Genomic Hybridization Analysis:. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:ceb409de-9642-4637-9f51-5285c17115c4


Delft University of Technology

9. Karavides, T. Database guided detection of anatomical landmark points in 3D images of the heart:.

Degree: 2009, Delft University of Technology

 Automated landmark detection may prove important for the examination and automatic analysis of real-time three-dimensional (3D) echocardiograms. By detecting 3D anatomical landmark points, the standard… (more)

Subjects/Keywords: classification; pattern recognition; ultrasound

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APA (6th Edition):

Karavides, T. (2009). Database guided detection of anatomical landmark points in 3D images of the heart:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:17e80d25-36d0-41c5-8a18-f5e7a6976a1b

Chicago Manual of Style (16th Edition):

Karavides, T. “Database guided detection of anatomical landmark points in 3D images of the heart:.” 2009. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:17e80d25-36d0-41c5-8a18-f5e7a6976a1b.

MLA Handbook (7th Edition):

Karavides, T. “Database guided detection of anatomical landmark points in 3D images of the heart:.” 2009. Web. 23 Jul 2019.

Vancouver:

Karavides T. Database guided detection of anatomical landmark points in 3D images of the heart:. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:17e80d25-36d0-41c5-8a18-f5e7a6976a1b.

Council of Science Editors:

Karavides T. Database guided detection of anatomical landmark points in 3D images of the heart:. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:17e80d25-36d0-41c5-8a18-f5e7a6976a1b


Delft University of Technology

10. Wildeman, M.H. Towards Quantitative Spatio-Temporal Gene Expression Measurements in Mice:.

Degree: Electrical Engineering, Mathematics and Computer Science, Media and Knowledge Engineering, 2009, Delft University of Technology

 In this project we tried to answer the question whether it is possible to obtain in vivo quantitative spatiotemporal gene expression data of mice, by… (more)

Subjects/Keywords: 3d distance map; 3d/2d registration; atlas; gene expression; enrichment

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APA (6th Edition):

Wildeman, M. H. (2009). Towards Quantitative Spatio-Temporal Gene Expression Measurements in Mice:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:efbce68d-3ff5-4025-a602-0541af87648b

Chicago Manual of Style (16th Edition):

Wildeman, M H. “Towards Quantitative Spatio-Temporal Gene Expression Measurements in Mice:.” 2009. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:efbce68d-3ff5-4025-a602-0541af87648b.

MLA Handbook (7th Edition):

Wildeman, M H. “Towards Quantitative Spatio-Temporal Gene Expression Measurements in Mice:.” 2009. Web. 23 Jul 2019.

Vancouver:

Wildeman MH. Towards Quantitative Spatio-Temporal Gene Expression Measurements in Mice:. [Internet] [Masters thesis]. Delft University of Technology; 2009. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:efbce68d-3ff5-4025-a602-0541af87648b.

Council of Science Editors:

Wildeman MH. Towards Quantitative Spatio-Temporal Gene Expression Measurements in Mice:. [Masters Thesis]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:efbce68d-3ff5-4025-a602-0541af87648b

11. Straver, R. Detection of Fetal Copy Number Aberrations by Shallow Sequencing of Maternal Blood Samples :.

Degree: 2012, Delft University of Technology

 Motivation: Numerous genetic disorders can be detected in prenatal diagnosis using Chorionic Villus Sampling. As this brings a 1:100 chance for miscarriage, this method is… (more)

Subjects/Keywords: CNA; bioinformatics; fetal; DNA; Maternal Plasma; NGS; Next Generation Sequencing; Sequencing; Copy Number Aberration; WISECONDOR

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APA (6th Edition):

Straver, R. (2012). Detection of Fetal Copy Number Aberrations by Shallow Sequencing of Maternal Blood Samples :. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:27d7627f-8163-4cb9-aa3e-591ecdd2370e

Chicago Manual of Style (16th Edition):

Straver, R. “Detection of Fetal Copy Number Aberrations by Shallow Sequencing of Maternal Blood Samples :.” 2012. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:27d7627f-8163-4cb9-aa3e-591ecdd2370e.

MLA Handbook (7th Edition):

Straver, R. “Detection of Fetal Copy Number Aberrations by Shallow Sequencing of Maternal Blood Samples :.” 2012. Web. 23 Jul 2019.

Vancouver:

Straver R. Detection of Fetal Copy Number Aberrations by Shallow Sequencing of Maternal Blood Samples :. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:27d7627f-8163-4cb9-aa3e-591ecdd2370e.

Council of Science Editors:

Straver R. Detection of Fetal Copy Number Aberrations by Shallow Sequencing of Maternal Blood Samples :. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:27d7627f-8163-4cb9-aa3e-591ecdd2370e

12. Wu, Y.; De Ridder, J. Prognostic Molecular Classification of Breast Cancer Based on Features Extracted from a Scale Space:.

Degree: 2013, Delft University of Technology

 Breast cancer is one of the most prevalent cancers affecting females in the world. In recent years, many cancer researchers have been trying to determine… (more)

Subjects/Keywords: breast cancer; scale space; classification; feature selection

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APA (6th Edition):

Wu, Y.; De Ridder, J. (2013). Prognostic Molecular Classification of Breast Cancer Based on Features Extracted from a Scale Space:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8c533126-8062-4279-98cd-2df03d131fc3

Chicago Manual of Style (16th Edition):

Wu, Y.; De Ridder, J. “Prognostic Molecular Classification of Breast Cancer Based on Features Extracted from a Scale Space:.” 2013. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:8c533126-8062-4279-98cd-2df03d131fc3.

MLA Handbook (7th Edition):

Wu, Y.; De Ridder, J. “Prognostic Molecular Classification of Breast Cancer Based on Features Extracted from a Scale Space:.” 2013. Web. 23 Jul 2019.

Vancouver:

Wu, Y.; De Ridder J. Prognostic Molecular Classification of Breast Cancer Based on Features Extracted from a Scale Space:. [Internet] [Masters thesis]. Delft University of Technology; 2013. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:8c533126-8062-4279-98cd-2df03d131fc3.

Council of Science Editors:

Wu, Y.; De Ridder J. Prognostic Molecular Classification of Breast Cancer Based on Features Extracted from a Scale Space:. [Masters Thesis]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:8c533126-8062-4279-98cd-2df03d131fc3


Delft University of Technology

13. Nijkamp, J.F. Algorithms for sequence-based reverse metabolic engineering.

Degree: 2013, Delft University of Technology

 Microorganisms are employed on a large scale in a variety of industrial production processes, such as production of food and ingredients, beverages, pharmaceutical compo- nents… (more)

Subjects/Keywords: Bioinformatics; Biotechnology; Fermentation; DNA sequencing

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APA (6th Edition):

Nijkamp, J. F. (2013). Algorithms for sequence-based reverse metabolic engineering. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:c8381f25-8d37-4f02-b163-a90829d120ee ; urn:NBN:nl:ui:24-uuid:c8381f25-8d37-4f02-b163-a90829d120ee ; urn:NBN:nl:ui:24-uuid:c8381f25-8d37-4f02-b163-a90829d120ee ; http://resolver.tudelft.nl/uuid:c8381f25-8d37-4f02-b163-a90829d120ee

Chicago Manual of Style (16th Edition):

Nijkamp, J F. “Algorithms for sequence-based reverse metabolic engineering.” 2013. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:c8381f25-8d37-4f02-b163-a90829d120ee ; urn:NBN:nl:ui:24-uuid:c8381f25-8d37-4f02-b163-a90829d120ee ; urn:NBN:nl:ui:24-uuid:c8381f25-8d37-4f02-b163-a90829d120ee ; http://resolver.tudelft.nl/uuid:c8381f25-8d37-4f02-b163-a90829d120ee.

MLA Handbook (7th Edition):

Nijkamp, J F. “Algorithms for sequence-based reverse metabolic engineering.” 2013. Web. 23 Jul 2019.

Vancouver:

Nijkamp JF. Algorithms for sequence-based reverse metabolic engineering. [Internet] [Doctoral dissertation]. Delft University of Technology; 2013. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:c8381f25-8d37-4f02-b163-a90829d120ee ; urn:NBN:nl:ui:24-uuid:c8381f25-8d37-4f02-b163-a90829d120ee ; urn:NBN:nl:ui:24-uuid:c8381f25-8d37-4f02-b163-a90829d120ee ; http://resolver.tudelft.nl/uuid:c8381f25-8d37-4f02-b163-a90829d120ee.

Council of Science Editors:

Nijkamp JF. Algorithms for sequence-based reverse metabolic engineering. [Doctoral Dissertation]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:c8381f25-8d37-4f02-b163-a90829d120ee ; urn:NBN:nl:ui:24-uuid:c8381f25-8d37-4f02-b163-a90829d120ee ; urn:NBN:nl:ui:24-uuid:c8381f25-8d37-4f02-b163-a90829d120ee ; http://resolver.tudelft.nl/uuid:c8381f25-8d37-4f02-b163-a90829d120ee


Delft University of Technology

14. Sontrop, H.M.J. A Critical Perspective On Microarray Breast Cancer Gene Expression Profiling.

Degree: 2015, Delft University of Technology

 Microarrays offer biologists an exciting tool that allows the simultaneous assessment of gene expression levels for thousands of genes at once. At the time of… (more)

Subjects/Keywords: bioinformatics; gene expression; microarray; breast cancer; subtyping; sensitivity analysis; performance evaluation

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APA (6th Edition):

Sontrop, H. M. J. (2015). A Critical Perspective On Microarray Breast Cancer Gene Expression Profiling. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a ; urn:NBN:nl:ui:24-uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a ; urn:NBN:nl:ui:24-uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a ; http://resolver.tudelft.nl/uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a

Chicago Manual of Style (16th Edition):

Sontrop, H M J. “A Critical Perspective On Microarray Breast Cancer Gene Expression Profiling.” 2015. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a ; urn:NBN:nl:ui:24-uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a ; urn:NBN:nl:ui:24-uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a ; http://resolver.tudelft.nl/uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a.

MLA Handbook (7th Edition):

Sontrop, H M J. “A Critical Perspective On Microarray Breast Cancer Gene Expression Profiling.” 2015. Web. 23 Jul 2019.

Vancouver:

Sontrop HMJ. A Critical Perspective On Microarray Breast Cancer Gene Expression Profiling. [Internet] [Doctoral dissertation]. Delft University of Technology; 2015. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a ; urn:NBN:nl:ui:24-uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a ; urn:NBN:nl:ui:24-uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a ; http://resolver.tudelft.nl/uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a.

Council of Science Editors:

Sontrop HMJ. A Critical Perspective On Microarray Breast Cancer Gene Expression Profiling. [Doctoral Dissertation]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a ; urn:NBN:nl:ui:24-uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a ; urn:NBN:nl:ui:24-uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a ; http://resolver.tudelft.nl/uuid:ca47f2e0-e6af-4fc7-b4ba-36fb93182b3a


Delft University of Technology

15. Porro Munoz, D. Classification of continuous multi-way data via dissimilarity representation.

Degree: 2013, Delft University of Technology

 For many pattern recognition applications, objects are represented by high-dimensional feature vectors, as the result of measurements that are taken from them. Such is the… (more)

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APA (6th Edition):

Porro Munoz, D. (2013). Classification of continuous multi-way data via dissimilarity representation. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7 ; urn:NBN:nl:ui:24-uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7 ; urn:NBN:nl:ui:24-uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7 ; http://resolver.tudelft.nl/uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7

Chicago Manual of Style (16th Edition):

Porro Munoz, D. “Classification of continuous multi-way data via dissimilarity representation.” 2013. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7 ; urn:NBN:nl:ui:24-uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7 ; urn:NBN:nl:ui:24-uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7 ; http://resolver.tudelft.nl/uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7.

MLA Handbook (7th Edition):

Porro Munoz, D. “Classification of continuous multi-way data via dissimilarity representation.” 2013. Web. 23 Jul 2019.

Vancouver:

Porro Munoz D. Classification of continuous multi-way data via dissimilarity representation. [Internet] [Doctoral dissertation]. Delft University of Technology; 2013. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7 ; urn:NBN:nl:ui:24-uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7 ; urn:NBN:nl:ui:24-uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7 ; http://resolver.tudelft.nl/uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7.

Council of Science Editors:

Porro Munoz D. Classification of continuous multi-way data via dissimilarity representation. [Doctoral Dissertation]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7 ; urn:NBN:nl:ui:24-uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7 ; urn:NBN:nl:ui:24-uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7 ; http://resolver.tudelft.nl/uuid:d7b47f3c-1c96-45fb-b28d-546f5f77c6f7


Delft University of Technology

16. Klijn, C.N. Finding cancer genes in copy number data and insertional mutagenesis data.

Degree: 2011, Delft University of Technology

 Cancer is a genetic disease. Step-wise alteration of genes that have a normal function in the cell can lead to the transformation of a healthy… (more)

Subjects/Keywords: cancer; computation biology; genetics; bioinformatics; pattern recognition; machine learning; biology

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APA (6th Edition):

Klijn, C. N. (2011). Finding cancer genes in copy number data and insertional mutagenesis data. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d ; urn:NBN:nl:ui:24-uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d ; urn:NBN:nl:ui:24-uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d ; http://resolver.tudelft.nl/uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d

Chicago Manual of Style (16th Edition):

Klijn, C N. “Finding cancer genes in copy number data and insertional mutagenesis data.” 2011. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d ; urn:NBN:nl:ui:24-uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d ; urn:NBN:nl:ui:24-uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d ; http://resolver.tudelft.nl/uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d.

MLA Handbook (7th Edition):

Klijn, C N. “Finding cancer genes in copy number data and insertional mutagenesis data.” 2011. Web. 23 Jul 2019.

Vancouver:

Klijn CN. Finding cancer genes in copy number data and insertional mutagenesis data. [Internet] [Doctoral dissertation]. Delft University of Technology; 2011. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d ; urn:NBN:nl:ui:24-uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d ; urn:NBN:nl:ui:24-uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d ; http://resolver.tudelft.nl/uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d.

Council of Science Editors:

Klijn CN. Finding cancer genes in copy number data and insertional mutagenesis data. [Doctoral Dissertation]. Delft University of Technology; 2011. Available from: http://resolver.tudelft.nl/uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d ; urn:NBN:nl:ui:24-uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d ; urn:NBN:nl:ui:24-uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d ; http://resolver.tudelft.nl/uuid:1d00019e-3d2e-4719-9d9f-650dad2fae0d


Delft University of Technology

17. Lai, C. Supervised classification and spatial dependency analysis in human cancer using high throughput data.

Degree: 2008, Delft University of Technology

Subjects/Keywords: classification; expression data; cancer research

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APA (6th Edition):

Lai, C. (2008). Supervised classification and spatial dependency analysis in human cancer using high throughput data. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4 ; urn:NBN:nl:ui:24-uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4 ; urn:NBN:nl:ui:24-uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4 ; http://resolver.tudelft.nl/uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4

Chicago Manual of Style (16th Edition):

Lai, C. “Supervised classification and spatial dependency analysis in human cancer using high throughput data.” 2008. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4 ; urn:NBN:nl:ui:24-uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4 ; urn:NBN:nl:ui:24-uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4 ; http://resolver.tudelft.nl/uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4.

MLA Handbook (7th Edition):

Lai, C. “Supervised classification and spatial dependency analysis in human cancer using high throughput data.” 2008. Web. 23 Jul 2019.

Vancouver:

Lai C. Supervised classification and spatial dependency analysis in human cancer using high throughput data. [Internet] [Doctoral dissertation]. Delft University of Technology; 2008. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4 ; urn:NBN:nl:ui:24-uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4 ; urn:NBN:nl:ui:24-uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4 ; http://resolver.tudelft.nl/uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4.

Council of Science Editors:

Lai C. Supervised classification and spatial dependency analysis in human cancer using high throughput data. [Doctoral Dissertation]. Delft University of Technology; 2008. Available from: http://resolver.tudelft.nl/uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4 ; urn:NBN:nl:ui:24-uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4 ; urn:NBN:nl:ui:24-uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4 ; http://resolver.tudelft.nl/uuid:1eae37b1-bcaf-4213-b74d-ef7e4395d9e4


Delft University of Technology

18. Saygili, G. Depth extraction, refinement and confidence estimation from image data.

Degree: 2015, Delft University of Technology

 Depth extraction is one of the important steps of 3D computer vision (CV). Although, it has been researched for many decades and there are variety… (more)

Subjects/Keywords: depth extraction

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APA (6th Edition):

Saygili, G. (2015). Depth extraction, refinement and confidence estimation from image data. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33 ; urn:NBN:nl:ui:24-uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33 ; urn:NBN:nl:ui:24-uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33 ; http://resolver.tudelft.nl/uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33

Chicago Manual of Style (16th Edition):

Saygili, G. “Depth extraction, refinement and confidence estimation from image data.” 2015. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33 ; urn:NBN:nl:ui:24-uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33 ; urn:NBN:nl:ui:24-uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33 ; http://resolver.tudelft.nl/uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33.

MLA Handbook (7th Edition):

Saygili, G. “Depth extraction, refinement and confidence estimation from image data.” 2015. Web. 23 Jul 2019.

Vancouver:

Saygili G. Depth extraction, refinement and confidence estimation from image data. [Internet] [Doctoral dissertation]. Delft University of Technology; 2015. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33 ; urn:NBN:nl:ui:24-uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33 ; urn:NBN:nl:ui:24-uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33 ; http://resolver.tudelft.nl/uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33.

Council of Science Editors:

Saygili G. Depth extraction, refinement and confidence estimation from image data. [Doctoral Dissertation]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33 ; urn:NBN:nl:ui:24-uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33 ; urn:NBN:nl:ui:24-uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33 ; http://resolver.tudelft.nl/uuid:255dd1b9-cf89-48b2-b9bf-636fb4932a33


Delft University of Technology

19. Hulsman, M. Data integration strategies for bioinformatics with applications in biomarker and network discovery.

Degree: 2014, Delft University of Technology

 Nowadays, with large amounts of data becoming available, solving biological quests is becoming more and more a data-driven activity. To support this, there is a… (more)

Subjects/Keywords: data integration; normalization; kernel methods; causal inference; regulatory networks; biomarker discovery; materiomics

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APA (6th Edition):

Hulsman, M. (2014). Data integration strategies for bioinformatics with applications in biomarker and network discovery. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:27b0d8df-800b-4386-a39b-12a4730bc550 ; urn:NBN:nl:ui:24-uuid:27b0d8df-800b-4386-a39b-12a4730bc550 ; urn:NBN:nl:ui:24-uuid:27b0d8df-800b-4386-a39b-12a4730bc550 ; http://resolver.tudelft.nl/uuid:27b0d8df-800b-4386-a39b-12a4730bc550

Chicago Manual of Style (16th Edition):

Hulsman, M. “Data integration strategies for bioinformatics with applications in biomarker and network discovery.” 2014. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:27b0d8df-800b-4386-a39b-12a4730bc550 ; urn:NBN:nl:ui:24-uuid:27b0d8df-800b-4386-a39b-12a4730bc550 ; urn:NBN:nl:ui:24-uuid:27b0d8df-800b-4386-a39b-12a4730bc550 ; http://resolver.tudelft.nl/uuid:27b0d8df-800b-4386-a39b-12a4730bc550.

MLA Handbook (7th Edition):

Hulsman, M. “Data integration strategies for bioinformatics with applications in biomarker and network discovery.” 2014. Web. 23 Jul 2019.

Vancouver:

Hulsman M. Data integration strategies for bioinformatics with applications in biomarker and network discovery. [Internet] [Doctoral dissertation]. Delft University of Technology; 2014. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:27b0d8df-800b-4386-a39b-12a4730bc550 ; urn:NBN:nl:ui:24-uuid:27b0d8df-800b-4386-a39b-12a4730bc550 ; urn:NBN:nl:ui:24-uuid:27b0d8df-800b-4386-a39b-12a4730bc550 ; http://resolver.tudelft.nl/uuid:27b0d8df-800b-4386-a39b-12a4730bc550.

Council of Science Editors:

Hulsman M. Data integration strategies for bioinformatics with applications in biomarker and network discovery. [Doctoral Dissertation]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:27b0d8df-800b-4386-a39b-12a4730bc550 ; urn:NBN:nl:ui:24-uuid:27b0d8df-800b-4386-a39b-12a4730bc550 ; urn:NBN:nl:ui:24-uuid:27b0d8df-800b-4386-a39b-12a4730bc550 ; http://resolver.tudelft.nl/uuid:27b0d8df-800b-4386-a39b-12a4730bc550


Delft University of Technology

20. Plasencia Calaña, Y. Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces.

Degree: 2015, Delft University of Technology

 Automatic pattern classification for a given problem domain aims at assigning a class or category membership to a new unseen object from the same domain.… (more)

Subjects/Keywords: prototype selection

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APA (6th Edition):

Plasencia Calaña, Y. (2015). Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b ; urn:NBN:nl:ui:24-uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b ; urn:NBN:nl:ui:24-uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b ; http://resolver.tudelft.nl/uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b

Chicago Manual of Style (16th Edition):

Plasencia Calaña, Y. “Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces.” 2015. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b ; urn:NBN:nl:ui:24-uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b ; urn:NBN:nl:ui:24-uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b ; http://resolver.tudelft.nl/uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b.

MLA Handbook (7th Edition):

Plasencia Calaña, Y. “Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces.” 2015. Web. 23 Jul 2019.

Vancouver:

Plasencia Calaña Y. Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces. [Internet] [Doctoral dissertation]. Delft University of Technology; 2015. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b ; urn:NBN:nl:ui:24-uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b ; urn:NBN:nl:ui:24-uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b ; http://resolver.tudelft.nl/uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b.

Council of Science Editors:

Plasencia Calaña Y. Prototype Selection for Classification in Standard and Generalized Dissimilarity Spaces. [Doctoral Dissertation]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b ; urn:NBN:nl:ui:24-uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b ; urn:NBN:nl:ui:24-uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b ; http://resolver.tudelft.nl/uuid:4a8f0412-fc16-4dc7-8f42-cb223c64de1b


Delft University of Technology

21. Landgrebe, T.C.W. Operating characteristics for the design and optimisation of classification systems.

Degree: 2007, Delft University of Technology

 In statistical pattern recognition, problems involve distinguishing of various concepts or classes, based on the development of classifiers/discriminators. These exploit discriminatory information existing in measurements… (more)

Subjects/Keywords: receiver operator characteristics; roc; operating characteristics

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APA (6th Edition):

Landgrebe, T. C. W. (2007). Operating characteristics for the design and optimisation of classification systems. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c ; urn:NBN:nl:ui:24-uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c ; urn:NBN:nl:ui:24-uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c ; http://resolver.tudelft.nl/uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c

Chicago Manual of Style (16th Edition):

Landgrebe, T C W. “Operating characteristics for the design and optimisation of classification systems.” 2007. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c ; urn:NBN:nl:ui:24-uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c ; urn:NBN:nl:ui:24-uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c ; http://resolver.tudelft.nl/uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c.

MLA Handbook (7th Edition):

Landgrebe, T C W. “Operating characteristics for the design and optimisation of classification systems.” 2007. Web. 23 Jul 2019.

Vancouver:

Landgrebe TCW. Operating characteristics for the design and optimisation of classification systems. [Internet] [Doctoral dissertation]. Delft University of Technology; 2007. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c ; urn:NBN:nl:ui:24-uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c ; urn:NBN:nl:ui:24-uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c ; http://resolver.tudelft.nl/uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c.

Council of Science Editors:

Landgrebe TCW. Operating characteristics for the design and optimisation of classification systems. [Doctoral Dissertation]. Delft University of Technology; 2007. Available from: http://resolver.tudelft.nl/uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c ; urn:NBN:nl:ui:24-uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c ; urn:NBN:nl:ui:24-uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c ; http://resolver.tudelft.nl/uuid:4f4d4450-ac86-4adf-82e4-7ccba84faa0c


Delft University of Technology

22. Li, Y. Multi-Scale Pattern Recognition for Image Classification and Segmentation.

Degree: 2013, Delft University of Technology

 Scale is an important parameter of images. Different objects or image structures (e.g. edges and corners) can appear at different scales and each is meaningful… (more)

Subjects/Keywords: pattern recognition; multi-scale; image analysis; machine learning; computer vision; multiple-instance learning

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APA (6th Edition):

Li, Y. (2013). Multi-Scale Pattern Recognition for Image Classification and Segmentation. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4 ; urn:NBN:nl:ui:24-uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4 ; urn:NBN:nl:ui:24-uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4 ; http://resolver.tudelft.nl/uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4

Chicago Manual of Style (16th Edition):

Li, Y. “Multi-Scale Pattern Recognition for Image Classification and Segmentation.” 2013. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4 ; urn:NBN:nl:ui:24-uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4 ; urn:NBN:nl:ui:24-uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4 ; http://resolver.tudelft.nl/uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4.

MLA Handbook (7th Edition):

Li, Y. “Multi-Scale Pattern Recognition for Image Classification and Segmentation.” 2013. Web. 23 Jul 2019.

Vancouver:

Li Y. Multi-Scale Pattern Recognition for Image Classification and Segmentation. [Internet] [Doctoral dissertation]. Delft University of Technology; 2013. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4 ; urn:NBN:nl:ui:24-uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4 ; urn:NBN:nl:ui:24-uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4 ; http://resolver.tudelft.nl/uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4.

Council of Science Editors:

Li Y. Multi-Scale Pattern Recognition for Image Classification and Segmentation. [Doctoral Dissertation]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4 ; urn:NBN:nl:ui:24-uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4 ; urn:NBN:nl:ui:24-uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4 ; http://resolver.tudelft.nl/uuid:f33711de-9a28-4b20-8afa-d4f70b7ef0c4

23. Yao, Y. Computational Assessment of Single-Molecule Protein Sequencing:.

Degree: 2014, Delft University of Technology

 A single-molecule protein sequencer, which labels only 2 out of 20 amino acids and uses single-molecule TIRF microscopy to measure the order of these fingerprints,… (more)

Subjects/Keywords: bioinformatics; protein sequencing; sequence alignment; alignment analysis

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APA (6th Edition):

Yao, Y. (2014). Computational Assessment of Single-Molecule Protein Sequencing:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4339deb2-8764-45ba-a688-a9078795f386

Chicago Manual of Style (16th Edition):

Yao, Y. “Computational Assessment of Single-Molecule Protein Sequencing:.” 2014. Masters Thesis, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:4339deb2-8764-45ba-a688-a9078795f386.

MLA Handbook (7th Edition):

Yao, Y. “Computational Assessment of Single-Molecule Protein Sequencing:.” 2014. Web. 23 Jul 2019.

Vancouver:

Yao Y. Computational Assessment of Single-Molecule Protein Sequencing:. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:4339deb2-8764-45ba-a688-a9078795f386.

Council of Science Editors:

Yao Y. Computational Assessment of Single-Molecule Protein Sequencing:. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:4339deb2-8764-45ba-a688-a9078795f386


Delft University of Technology

24. Huo, F. Vision-based 3D Human Motion Analysis in a Hierarchical Way.

Degree: 2013, Delft University of Technology

 In the last decade, computer vision has drawn more and more attention because of its potential applications in our daily lives, such as health care,… (more)

Subjects/Keywords: surveillance; computer vision; multiple people tracking; pose estimation

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APA (6th Edition):

Huo, F. (2013). Vision-based 3D Human Motion Analysis in a Hierarchical Way. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:a14f2944-d922-4127-8ad9-81966190a227 ; urn:NBN:nl:ui:24-uuid:a14f2944-d922-4127-8ad9-81966190a227 ; urn:NBN:nl:ui:24-uuid:a14f2944-d922-4127-8ad9-81966190a227 ; http://resolver.tudelft.nl/uuid:a14f2944-d922-4127-8ad9-81966190a227

Chicago Manual of Style (16th Edition):

Huo, F. “Vision-based 3D Human Motion Analysis in a Hierarchical Way.” 2013. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:a14f2944-d922-4127-8ad9-81966190a227 ; urn:NBN:nl:ui:24-uuid:a14f2944-d922-4127-8ad9-81966190a227 ; urn:NBN:nl:ui:24-uuid:a14f2944-d922-4127-8ad9-81966190a227 ; http://resolver.tudelft.nl/uuid:a14f2944-d922-4127-8ad9-81966190a227.

MLA Handbook (7th Edition):

Huo, F. “Vision-based 3D Human Motion Analysis in a Hierarchical Way.” 2013. Web. 23 Jul 2019.

Vancouver:

Huo F. Vision-based 3D Human Motion Analysis in a Hierarchical Way. [Internet] [Doctoral dissertation]. Delft University of Technology; 2013. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:a14f2944-d922-4127-8ad9-81966190a227 ; urn:NBN:nl:ui:24-uuid:a14f2944-d922-4127-8ad9-81966190a227 ; urn:NBN:nl:ui:24-uuid:a14f2944-d922-4127-8ad9-81966190a227 ; http://resolver.tudelft.nl/uuid:a14f2944-d922-4127-8ad9-81966190a227.

Council of Science Editors:

Huo F. Vision-based 3D Human Motion Analysis in a Hierarchical Way. [Doctoral Dissertation]. Delft University of Technology; 2013. Available from: http://resolver.tudelft.nl/uuid:a14f2944-d922-4127-8ad9-81966190a227 ; urn:NBN:nl:ui:24-uuid:a14f2944-d922-4127-8ad9-81966190a227 ; urn:NBN:nl:ui:24-uuid:a14f2944-d922-4127-8ad9-81966190a227 ; http://resolver.tudelft.nl/uuid:a14f2944-d922-4127-8ad9-81966190a227


Delft University of Technology

25. Knijnenburg, T.A. Inferring the influence of cultivation parameters on transcriptional regulation.

Degree: 2009, Delft University of Technology

 Exactly how an organism adapts its transcriptional program in response to intra- and extracellular signals remains elusive. Development of computational approaches that use the large… (more)

Subjects/Keywords: yeast chemostat cultivation; gene expression; bioinformatics

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APA (6th Edition):

Knijnenburg, T. A. (2009). Inferring the influence of cultivation parameters on transcriptional regulation. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8 ; urn:NBN:nl:ui:24-uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8 ; urn:NBN:nl:ui:24-uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8 ; http://resolver.tudelft.nl/uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8

Chicago Manual of Style (16th Edition):

Knijnenburg, T A. “Inferring the influence of cultivation parameters on transcriptional regulation.” 2009. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8 ; urn:NBN:nl:ui:24-uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8 ; urn:NBN:nl:ui:24-uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8 ; http://resolver.tudelft.nl/uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8.

MLA Handbook (7th Edition):

Knijnenburg, T A. “Inferring the influence of cultivation parameters on transcriptional regulation.” 2009. Web. 23 Jul 2019.

Vancouver:

Knijnenburg TA. Inferring the influence of cultivation parameters on transcriptional regulation. [Internet] [Doctoral dissertation]. Delft University of Technology; 2009. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8 ; urn:NBN:nl:ui:24-uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8 ; urn:NBN:nl:ui:24-uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8 ; http://resolver.tudelft.nl/uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8.

Council of Science Editors:

Knijnenburg TA. Inferring the influence of cultivation parameters on transcriptional regulation. [Doctoral Dissertation]. Delft University of Technology; 2009. Available from: http://resolver.tudelft.nl/uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8 ; urn:NBN:nl:ui:24-uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8 ; urn:NBN:nl:ui:24-uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8 ; http://resolver.tudelft.nl/uuid:d2d8c74b-9580-4101-9b72-5a5370a4bcd8


Delft University of Technology

26. Juszczak, P. Learning to recognise: A study on one-class classification and active learning.

Degree: 2006, Delft University of Technology

 The thesis treats classification problems which are undersampled or where there exist an unbalance between classes in the sampling. The thesis is divided into three… (more)

Subjects/Keywords: pattern recognition; machine learning

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APA (6th Edition):

Juszczak, P. (2006). Learning to recognise: A study on one-class classification and active learning. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92 ; urn:NBN:nl:ui:24-uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92 ; urn:NBN:nl:ui:24-uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92 ; http://resolver.tudelft.nl/uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92

Chicago Manual of Style (16th Edition):

Juszczak, P. “Learning to recognise: A study on one-class classification and active learning.” 2006. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92 ; urn:NBN:nl:ui:24-uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92 ; urn:NBN:nl:ui:24-uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92 ; http://resolver.tudelft.nl/uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92.

MLA Handbook (7th Edition):

Juszczak, P. “Learning to recognise: A study on one-class classification and active learning.” 2006. Web. 23 Jul 2019.

Vancouver:

Juszczak P. Learning to recognise: A study on one-class classification and active learning. [Internet] [Doctoral dissertation]. Delft University of Technology; 2006. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92 ; urn:NBN:nl:ui:24-uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92 ; urn:NBN:nl:ui:24-uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92 ; http://resolver.tudelft.nl/uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92.

Council of Science Editors:

Juszczak P. Learning to recognise: A study on one-class classification and active learning. [Doctoral Dissertation]. Delft University of Technology; 2006. Available from: http://resolver.tudelft.nl/uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92 ; urn:NBN:nl:ui:24-uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92 ; urn:NBN:nl:ui:24-uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92 ; http://resolver.tudelft.nl/uuid:4b4a7448-0807-4a54-ac21-a7dafa7fbf92


Delft University of Technology

27. Cheplygina, V. Dissimilarity-Based Multiple Instance Learning.

Degree: 2015, Delft University of Technology

 Multiple instance learning (MIL) is an extension of supervised learning where the objects are represented by sets (bags) of feature vectors (instances) rather than individual… (more)

Subjects/Keywords: machine learning; pattern recognition; classification

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APA (6th Edition):

Cheplygina, V. (2015). Dissimilarity-Based Multiple Instance Learning. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc ; urn:NBN:nl:ui:24-uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc ; urn:NBN:nl:ui:24-uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc ; http://resolver.tudelft.nl/uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc

Chicago Manual of Style (16th Edition):

Cheplygina, V. “Dissimilarity-Based Multiple Instance Learning.” 2015. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc ; urn:NBN:nl:ui:24-uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc ; urn:NBN:nl:ui:24-uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc ; http://resolver.tudelft.nl/uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc.

MLA Handbook (7th Edition):

Cheplygina, V. “Dissimilarity-Based Multiple Instance Learning.” 2015. Web. 23 Jul 2019.

Vancouver:

Cheplygina V. Dissimilarity-Based Multiple Instance Learning. [Internet] [Doctoral dissertation]. Delft University of Technology; 2015. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc ; urn:NBN:nl:ui:24-uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc ; urn:NBN:nl:ui:24-uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc ; http://resolver.tudelft.nl/uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc.

Council of Science Editors:

Cheplygina V. Dissimilarity-Based Multiple Instance Learning. [Doctoral Dissertation]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc ; urn:NBN:nl:ui:24-uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc ; urn:NBN:nl:ui:24-uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc ; http://resolver.tudelft.nl/uuid:f2b2f3d2-3de7-4642-aad8-8216ea12a6cc


Delft University of Technology

28. Mahfouz, A.M.E.T.A. Computational analysis of brain transcriptome atlases: Understanding molecular mechanisms.

Degree: 2016, Delft University of Technology

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APA (6th Edition):

Mahfouz, A. M. E. T. A. (2016). Computational analysis of brain transcriptome atlases: Understanding molecular mechanisms. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e8241c58-a443-46b7-8e98-c91078d338df ; urn:NBN:nl:ui:24-uuid:e8241c58-a443-46b7-8e98-c91078d338df ; e8241c58-a443-46b7-8e98-c91078d338df ; urn:isbn:978-94-6186-678-3 ; 10.4233/uuid:e8241c58-a443-46b7-8e98-c91078d338df ; urn:NBN:nl:ui:24-uuid:e8241c58-a443-46b7-8e98-c91078d338df ; http://resolver.tudelft.nl/uuid:e8241c58-a443-46b7-8e98-c91078d338df

Chicago Manual of Style (16th Edition):

Mahfouz, A M E T A. “Computational analysis of brain transcriptome atlases: Understanding molecular mechanisms.” 2016. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:e8241c58-a443-46b7-8e98-c91078d338df ; urn:NBN:nl:ui:24-uuid:e8241c58-a443-46b7-8e98-c91078d338df ; e8241c58-a443-46b7-8e98-c91078d338df ; urn:isbn:978-94-6186-678-3 ; 10.4233/uuid:e8241c58-a443-46b7-8e98-c91078d338df ; urn:NBN:nl:ui:24-uuid:e8241c58-a443-46b7-8e98-c91078d338df ; http://resolver.tudelft.nl/uuid:e8241c58-a443-46b7-8e98-c91078d338df.

MLA Handbook (7th Edition):

Mahfouz, A M E T A. “Computational analysis of brain transcriptome atlases: Understanding molecular mechanisms.” 2016. Web. 23 Jul 2019.

Vancouver:

Mahfouz AMETA. Computational analysis of brain transcriptome atlases: Understanding molecular mechanisms. [Internet] [Doctoral dissertation]. Delft University of Technology; 2016. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:e8241c58-a443-46b7-8e98-c91078d338df ; urn:NBN:nl:ui:24-uuid:e8241c58-a443-46b7-8e98-c91078d338df ; e8241c58-a443-46b7-8e98-c91078d338df ; urn:isbn:978-94-6186-678-3 ; 10.4233/uuid:e8241c58-a443-46b7-8e98-c91078d338df ; urn:NBN:nl:ui:24-uuid:e8241c58-a443-46b7-8e98-c91078d338df ; http://resolver.tudelft.nl/uuid:e8241c58-a443-46b7-8e98-c91078d338df.

Council of Science Editors:

Mahfouz AMETA. Computational analysis of brain transcriptome atlases: Understanding molecular mechanisms. [Doctoral Dissertation]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:e8241c58-a443-46b7-8e98-c91078d338df ; urn:NBN:nl:ui:24-uuid:e8241c58-a443-46b7-8e98-c91078d338df ; e8241c58-a443-46b7-8e98-c91078d338df ; urn:isbn:978-94-6186-678-3 ; 10.4233/uuid:e8241c58-a443-46b7-8e98-c91078d338df ; urn:NBN:nl:ui:24-uuid:e8241c58-a443-46b7-8e98-c91078d338df ; http://resolver.tudelft.nl/uuid:e8241c58-a443-46b7-8e98-c91078d338df


Delft University of Technology

29. Van Berlo, R.J.P. Vertical integration of high-throughput measurements to derive functional and regulatory interactions in S. cerevisiae.

Degree: 2010, Delft University of Technology

 Bioinformatics concerns itself with developing data-driven tools for extracting biological information from high-throughput datasets (e.g. gene expression data, protein interaction data). Until recently, most of… (more)

Subjects/Keywords: bioinformatics; high-throughput; gene expression; integration; classifiers

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APA (6th Edition):

Van Berlo, R. J. P. (2010). Vertical integration of high-throughput measurements to derive functional and regulatory interactions in S. cerevisiae. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a ; urn:NBN:nl:ui:24-uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a ; urn:NBN:nl:ui:24-uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a ; http://resolver.tudelft.nl/uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a

Chicago Manual of Style (16th Edition):

Van Berlo, R J P. “Vertical integration of high-throughput measurements to derive functional and regulatory interactions in S. cerevisiae.” 2010. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a ; urn:NBN:nl:ui:24-uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a ; urn:NBN:nl:ui:24-uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a ; http://resolver.tudelft.nl/uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a.

MLA Handbook (7th Edition):

Van Berlo, R J P. “Vertical integration of high-throughput measurements to derive functional and regulatory interactions in S. cerevisiae.” 2010. Web. 23 Jul 2019.

Vancouver:

Van Berlo RJP. Vertical integration of high-throughput measurements to derive functional and regulatory interactions in S. cerevisiae. [Internet] [Doctoral dissertation]. Delft University of Technology; 2010. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a ; urn:NBN:nl:ui:24-uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a ; urn:NBN:nl:ui:24-uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a ; http://resolver.tudelft.nl/uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a.

Council of Science Editors:

Van Berlo RJP. Vertical integration of high-throughput measurements to derive functional and regulatory interactions in S. cerevisiae. [Doctoral Dissertation]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a ; urn:NBN:nl:ui:24-uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a ; urn:NBN:nl:ui:24-uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a ; http://resolver.tudelft.nl/uuid:db5de933-6aa5-46fa-b36f-90fb955bc48a


Delft University of Technology

30. Meuleman, W. Computational Biology in Clinical Proteomics and Chromatin Genomics.

Degree: 2012, Delft University of Technology

 The work in this thesis is concerned with two very distinct biological fields. The first part pertains to the development of techniques to aid in… (more)

Subjects/Keywords: Computational Biology; Clinical Proteomics; Chromatin Genomics; nuclear lamina; DamID; microarray; sequence analysis; mass spectrometry; mass spectra; gene regulation; normalisation; normalization; pre-processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Meuleman, W. (2012). Computational Biology in Clinical Proteomics and Chromatin Genomics. (Doctoral Dissertation). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2 ; urn:NBN:nl:ui:24-uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2 ; urn:NBN:nl:ui:24-uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2 ; http://resolver.tudelft.nl/uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2

Chicago Manual of Style (16th Edition):

Meuleman, W. “Computational Biology in Clinical Proteomics and Chromatin Genomics.” 2012. Doctoral Dissertation, Delft University of Technology. Accessed July 23, 2019. http://resolver.tudelft.nl/uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2 ; urn:NBN:nl:ui:24-uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2 ; urn:NBN:nl:ui:24-uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2 ; http://resolver.tudelft.nl/uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2.

MLA Handbook (7th Edition):

Meuleman, W. “Computational Biology in Clinical Proteomics and Chromatin Genomics.” 2012. Web. 23 Jul 2019.

Vancouver:

Meuleman W. Computational Biology in Clinical Proteomics and Chromatin Genomics. [Internet] [Doctoral dissertation]. Delft University of Technology; 2012. [cited 2019 Jul 23]. Available from: http://resolver.tudelft.nl/uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2 ; urn:NBN:nl:ui:24-uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2 ; urn:NBN:nl:ui:24-uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2 ; http://resolver.tudelft.nl/uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2.

Council of Science Editors:

Meuleman W. Computational Biology in Clinical Proteomics and Chromatin Genomics. [Doctoral Dissertation]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2 ; urn:NBN:nl:ui:24-uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2 ; urn:NBN:nl:ui:24-uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2 ; http://resolver.tudelft.nl/uuid:e16da59f-6dd0-44c8-bcba-20328f67d4c2

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