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You searched for subject:(gene discovery). Showing records 1 – 30 of 38 total matches.

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UCLA

1. Athakitkarnka, Pavitra. Gene Annotation in Rice Genome Using Homology.

Degree: Biomedical Engineering, 2013, UCLA

 In the functional genomics era, systems-level analysis of genomic and proteomic data quickens the pace of gene-function discovery. I created a program and collected cross-referenced… (more)

Subjects/Keywords: Bioinformatics; cytokinin oxidase; gene enrichment; gene-function discovery; Homology; Rice Genome; sequence Annotation

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

APA (6th Edition):

Athakitkarnka, P. (2013). Gene Annotation in Rice Genome Using Homology. (Thesis). UCLA. Retrieved from http://www.escholarship.org/uc/item/9n35c8hj

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Athakitkarnka, Pavitra. “Gene Annotation in Rice Genome Using Homology.” 2013. Thesis, UCLA. Accessed December 08, 2019. http://www.escholarship.org/uc/item/9n35c8hj.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Athakitkarnka, Pavitra. “Gene Annotation in Rice Genome Using Homology.” 2013. Web. 08 Dec 2019.

Vancouver:

Athakitkarnka P. Gene Annotation in Rice Genome Using Homology. [Internet] [Thesis]. UCLA; 2013. [cited 2019 Dec 08]. Available from: http://www.escholarship.org/uc/item/9n35c8hj.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Athakitkarnka P. Gene Annotation in Rice Genome Using Homology. [Thesis]. UCLA; 2013. Available from: http://www.escholarship.org/uc/item/9n35c8hj

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Virginia Tech

2. Zhang, Yuji. Module_based Analysis of Biological Data for Network Inference and Biomarker Discovery.

Degree: PhD, Electrical and Computer Engineering, 2010, Virginia Tech

 Systems biology comprises the global, integrated analysis of large-scale data encoding different levels of biological information with the aim to obtain global insight into the… (more)

Subjects/Keywords: Network Modeling; Data Integration; Gene Module Identification; Gene Regulatory Module; Biomarker Discovery

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APA (6th Edition):

Zhang, Y. (2010). Module_based Analysis of Biological Data for Network Inference and Biomarker Discovery. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/28482

Chicago Manual of Style (16th Edition):

Zhang, Yuji. “Module_based Analysis of Biological Data for Network Inference and Biomarker Discovery.” 2010. Doctoral Dissertation, Virginia Tech. Accessed December 08, 2019. http://hdl.handle.net/10919/28482.

MLA Handbook (7th Edition):

Zhang, Yuji. “Module_based Analysis of Biological Data for Network Inference and Biomarker Discovery.” 2010. Web. 08 Dec 2019.

Vancouver:

Zhang Y. Module_based Analysis of Biological Data for Network Inference and Biomarker Discovery. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10919/28482.

Council of Science Editors:

Zhang Y. Module_based Analysis of Biological Data for Network Inference and Biomarker Discovery. [Doctoral Dissertation]. Virginia Tech; 2010. Available from: http://hdl.handle.net/10919/28482


University of California – San Diego

3. Huang, Justin Kwang-Lay. Applications of Network Propagation for the Discovery of Candidate Genes in Human Disease.

Degree: Bioinformatics & Systems Bio, 2018, University of California – San Diego

 The molecular system of the cell can be represented as a network with genes or proteins represented as the nodes and the various types of… (more)

Subjects/Keywords: Bioinformatics; Bioinformatics; Cancer; Disease Gene Discovery; Molecular Network; Network Propagation

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APA (6th Edition):

Huang, J. K. (2018). Applications of Network Propagation for the Discovery of Candidate Genes in Human Disease. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/9dh1j9tm

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Justin Kwang-Lay. “Applications of Network Propagation for the Discovery of Candidate Genes in Human Disease.” 2018. Thesis, University of California – San Diego. Accessed December 08, 2019. http://www.escholarship.org/uc/item/9dh1j9tm.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Justin Kwang-Lay. “Applications of Network Propagation for the Discovery of Candidate Genes in Human Disease.” 2018. Web. 08 Dec 2019.

Vancouver:

Huang JK. Applications of Network Propagation for the Discovery of Candidate Genes in Human Disease. [Internet] [Thesis]. University of California – San Diego; 2018. [cited 2019 Dec 08]. Available from: http://www.escholarship.org/uc/item/9dh1j9tm.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang JK. Applications of Network Propagation for the Discovery of Candidate Genes in Human Disease. [Thesis]. University of California – San Diego; 2018. Available from: http://www.escholarship.org/uc/item/9dh1j9tm

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. Curtis, Jessica. Class discovery via feature selection in unsupervised settings.

Degree: PhD, Mathematics & Statistics, 2016, Boston University

 Identifying genes linked to the appearance of certain types of cancers and their phenotypes is a well-known and challenging problem in bioinformatics. Discovering marker genes… (more)

Subjects/Keywords: Statistics; Class discovery; Clustering; Feature selection; Gene expression; Higher criticism; Unsupervised

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APA (6th Edition):

Curtis, J. (2016). Class discovery via feature selection in unsupervised settings. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/14548

Chicago Manual of Style (16th Edition):

Curtis, Jessica. “Class discovery via feature selection in unsupervised settings.” 2016. Doctoral Dissertation, Boston University. Accessed December 08, 2019. http://hdl.handle.net/2144/14548.

MLA Handbook (7th Edition):

Curtis, Jessica. “Class discovery via feature selection in unsupervised settings.” 2016. Web. 08 Dec 2019.

Vancouver:

Curtis J. Class discovery via feature selection in unsupervised settings. [Internet] [Doctoral dissertation]. Boston University; 2016. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/2144/14548.

Council of Science Editors:

Curtis J. Class discovery via feature selection in unsupervised settings. [Doctoral Dissertation]. Boston University; 2016. Available from: http://hdl.handle.net/2144/14548


University of Manchester

5. Dol, Zulkifli. A Strategy for A Systematic Approach to Biomarker Discovery Validation - A Study on Lung Cancer Microarray data set.

Degree: 2015, University of Manchester

 Cancer is a serious threat to human health and is now one of major causes of death worldwide. However, the complexity of the cancer makes… (more)

Subjects/Keywords: Biomarker discovery; Machine learning; Text mining; Lung cancer; Gene expression; Microarray data

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

APA (6th Edition):

Dol, Z. (2015). A Strategy for A Systematic Approach to Biomarker Discovery Validation - A Study on Lung Cancer Microarray data set. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:276982

Chicago Manual of Style (16th Edition):

Dol, Zulkifli. “A Strategy for A Systematic Approach to Biomarker Discovery Validation - A Study on Lung Cancer Microarray data set.” 2015. Doctoral Dissertation, University of Manchester. Accessed December 08, 2019. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:276982.

MLA Handbook (7th Edition):

Dol, Zulkifli. “A Strategy for A Systematic Approach to Biomarker Discovery Validation - A Study on Lung Cancer Microarray data set.” 2015. Web. 08 Dec 2019.

Vancouver:

Dol Z. A Strategy for A Systematic Approach to Biomarker Discovery Validation - A Study on Lung Cancer Microarray data set. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2019 Dec 08]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:276982.

Council of Science Editors:

Dol Z. A Strategy for A Systematic Approach to Biomarker Discovery Validation - A Study on Lung Cancer Microarray data set. [Doctoral Dissertation]. University of Manchester; 2015. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:276982


University of Manchester

6. Dol, Zulkifli. A strategy for a systematic approach to biomarker discovery validation : a study on lung cancer microarray data set.

Degree: PhD, 2015, University of Manchester

 Cancer is a serious threat to human health and is now one of major causes of death worldwide. However, the complexity of the cancer makes… (more)

Subjects/Keywords: 616.99; Biomarker discovery; Machine learning; Text mining; Lung cancer; Gene expression; Microarray data

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

APA (6th Edition):

Dol, Z. (2015). A strategy for a systematic approach to biomarker discovery validation : a study on lung cancer microarray data set. (Doctoral Dissertation). University of Manchester. Retrieved from https://www.research.manchester.ac.uk/portal/en/theses/a-strategy-for-a-systematic-approach-to-biomarker-discovery-validation – a-study-on-lung-cancer-microarray-data-set(8e439385-27d1-44ac-8b20-259b4a8f6716).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.674678

Chicago Manual of Style (16th Edition):

Dol, Zulkifli. “A strategy for a systematic approach to biomarker discovery validation : a study on lung cancer microarray data set.” 2015. Doctoral Dissertation, University of Manchester. Accessed December 08, 2019. https://www.research.manchester.ac.uk/portal/en/theses/a-strategy-for-a-systematic-approach-to-biomarker-discovery-validation – a-study-on-lung-cancer-microarray-data-set(8e439385-27d1-44ac-8b20-259b4a8f6716).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.674678.

MLA Handbook (7th Edition):

Dol, Zulkifli. “A strategy for a systematic approach to biomarker discovery validation : a study on lung cancer microarray data set.” 2015. Web. 08 Dec 2019.

Vancouver:

Dol Z. A strategy for a systematic approach to biomarker discovery validation : a study on lung cancer microarray data set. [Internet] [Doctoral dissertation]. University of Manchester; 2015. [cited 2019 Dec 08]. Available from: https://www.research.manchester.ac.uk/portal/en/theses/a-strategy-for-a-systematic-approach-to-biomarker-discovery-validation – a-study-on-lung-cancer-microarray-data-set(8e439385-27d1-44ac-8b20-259b4a8f6716).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.674678.

Council of Science Editors:

Dol Z. A strategy for a systematic approach to biomarker discovery validation : a study on lung cancer microarray data set. [Doctoral Dissertation]. University of Manchester; 2015. Available from: https://www.research.manchester.ac.uk/portal/en/theses/a-strategy-for-a-systematic-approach-to-biomarker-discovery-validation – a-study-on-lung-cancer-microarray-data-set(8e439385-27d1-44ac-8b20-259b4a8f6716).html ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.674678


Loyola University Chicago

7. Prajapati, Kushal. Development of Cell Based Reporter Assay to Measure PKC-Delta Promoter Activity.

Degree: MS, Pharmacology and Experimental Therapeutics, 2013, Loyola University Chicago

  Protein kinase C- δ (PKC-δ) acts as a tumor suppressor in skin cancer and is lost in 30% of human Squamous Cell Carcinoma (SCC).… (more)

Subjects/Keywords: Drug Discovery; Gene Reporter Assay; High Throughput Screening; PKC-Delta; Pharmacy and Pharmaceutical Sciences

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APA (6th Edition):

Prajapati, K. (2013). Development of Cell Based Reporter Assay to Measure PKC-Delta Promoter Activity. (Thesis). Loyola University Chicago. Retrieved from http://ecommons.luc.edu/luc_theses/1862

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Prajapati, Kushal. “Development of Cell Based Reporter Assay to Measure PKC-Delta Promoter Activity.” 2013. Thesis, Loyola University Chicago. Accessed December 08, 2019. http://ecommons.luc.edu/luc_theses/1862.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Prajapati, Kushal. “Development of Cell Based Reporter Assay to Measure PKC-Delta Promoter Activity.” 2013. Web. 08 Dec 2019.

Vancouver:

Prajapati K. Development of Cell Based Reporter Assay to Measure PKC-Delta Promoter Activity. [Internet] [Thesis]. Loyola University Chicago; 2013. [cited 2019 Dec 08]. Available from: http://ecommons.luc.edu/luc_theses/1862.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Prajapati K. Development of Cell Based Reporter Assay to Measure PKC-Delta Promoter Activity. [Thesis]. Loyola University Chicago; 2013. Available from: http://ecommons.luc.edu/luc_theses/1862

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Illinois – Urbana-Champaign

8. Liu, Yuhe. Discovery and characterization of genes controlling nitrogen utilization in maize.

Degree: PhD, 0030, 2014, University of Illinois – Urbana-Champaign

 Maize (Zea mays, L.) yield has a well-documented response to supplemental nitrogen (N). As a result of this response, supplemental N is applied to nearly… (more)

Subjects/Keywords: Maize; Nitrogen use efficiency (NUE); quantitative trait loci (QTL); Gene Discovery; Sustainable Intensification; Plant Breeding

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

APA (6th Edition):

Liu, Y. (2014). Discovery and characterization of genes controlling nitrogen utilization in maize. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/49661

Chicago Manual of Style (16th Edition):

Liu, Yuhe. “Discovery and characterization of genes controlling nitrogen utilization in maize.” 2014. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed December 08, 2019. http://hdl.handle.net/2142/49661.

MLA Handbook (7th Edition):

Liu, Yuhe. “Discovery and characterization of genes controlling nitrogen utilization in maize.” 2014. Web. 08 Dec 2019.

Vancouver:

Liu Y. Discovery and characterization of genes controlling nitrogen utilization in maize. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/2142/49661.

Council of Science Editors:

Liu Y. Discovery and characterization of genes controlling nitrogen utilization in maize. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/49661


New Jersey Institute of Technology

9. Byron, Kevin. Big data analytics in computational biology and bioinformatics.

Degree: PhD, Computer Science, 2017, New Jersey Institute of Technology

  Big data analytics in computational biology and bioinformatics refers to an array of operations including biological pattern discovery, classification, prediction, inference, clustering as well… (more)

Subjects/Keywords: Gene regulatory network; Reverse engineering; Data mining; Noncoding rna; Big data; Pattern discovery; Computer Sciences

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APA (6th Edition):

Byron, K. (2017). Big data analytics in computational biology and bioinformatics. (Doctoral Dissertation). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/dissertations/17

Chicago Manual of Style (16th Edition):

Byron, Kevin. “Big data analytics in computational biology and bioinformatics.” 2017. Doctoral Dissertation, New Jersey Institute of Technology. Accessed December 08, 2019. https://digitalcommons.njit.edu/dissertations/17.

MLA Handbook (7th Edition):

Byron, Kevin. “Big data analytics in computational biology and bioinformatics.” 2017. Web. 08 Dec 2019.

Vancouver:

Byron K. Big data analytics in computational biology and bioinformatics. [Internet] [Doctoral dissertation]. New Jersey Institute of Technology; 2017. [cited 2019 Dec 08]. Available from: https://digitalcommons.njit.edu/dissertations/17.

Council of Science Editors:

Byron K. Big data analytics in computational biology and bioinformatics. [Doctoral Dissertation]. New Jersey Institute of Technology; 2017. Available from: https://digitalcommons.njit.edu/dissertations/17


Iowa State University

10. Liang, Kun. Hidden Markov models for simultaneous testing of multiple gene sets and adaptive and dynamic adaptive procedures for false discovery rate control and estimation.

Degree: 2010, Iowa State University

 This dissertation explored important issues of adaptive multiple testing problems. In Chapter 2, we showed that a class of dynamic adaptive procedures provides conservative point… (more)

Subjects/Keywords: False discovery rate; Gene ontology; Gene set enrichment analysis; Hidden Markov model; Microarray; Simultaneous inference; Statistics and Probability

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APA (6th Edition):

Liang, K. (2010). Hidden Markov models for simultaneous testing of multiple gene sets and adaptive and dynamic adaptive procedures for false discovery rate control and estimation. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/11341

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Liang, Kun. “Hidden Markov models for simultaneous testing of multiple gene sets and adaptive and dynamic adaptive procedures for false discovery rate control and estimation.” 2010. Thesis, Iowa State University. Accessed December 08, 2019. https://lib.dr.iastate.edu/etd/11341.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Liang, Kun. “Hidden Markov models for simultaneous testing of multiple gene sets and adaptive and dynamic adaptive procedures for false discovery rate control and estimation.” 2010. Web. 08 Dec 2019.

Vancouver:

Liang K. Hidden Markov models for simultaneous testing of multiple gene sets and adaptive and dynamic adaptive procedures for false discovery rate control and estimation. [Internet] [Thesis]. Iowa State University; 2010. [cited 2019 Dec 08]. Available from: https://lib.dr.iastate.edu/etd/11341.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liang K. Hidden Markov models for simultaneous testing of multiple gene sets and adaptive and dynamic adaptive procedures for false discovery rate control and estimation. [Thesis]. Iowa State University; 2010. Available from: https://lib.dr.iastate.edu/etd/11341

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

11. Viktor, Jonsson. Statistical analysis and modelling of gene count data in metagenomics.

Degree: 2017, University of Gothenburg / Göteborgs Universitet

 Microorganisms form complex communities that play an integral part of all ecosystems on Earth. Metagenomics enables the study of microbial communities through sequencing of random… (more)

Subjects/Keywords: metagenomics; statistical modelling; hierarchical statistical models; gene ranking; overdispersion; zero-inflation; false discovery rate; receiver operating characteristic curves

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APA (6th Edition):

Viktor, J. (2017). Statistical analysis and modelling of gene count data in metagenomics. (Thesis). University of Gothenburg / Göteborgs Universitet. Retrieved from http://hdl.handle.net/2077/48788

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Viktor, Jonsson. “Statistical analysis and modelling of gene count data in metagenomics.” 2017. Thesis, University of Gothenburg / Göteborgs Universitet. Accessed December 08, 2019. http://hdl.handle.net/2077/48788.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Viktor, Jonsson. “Statistical analysis and modelling of gene count data in metagenomics.” 2017. Web. 08 Dec 2019.

Vancouver:

Viktor J. Statistical analysis and modelling of gene count data in metagenomics. [Internet] [Thesis]. University of Gothenburg / Göteborgs Universitet; 2017. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/2077/48788.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Viktor J. Statistical analysis and modelling of gene count data in metagenomics. [Thesis]. University of Gothenburg / Göteborgs Universitet; 2017. Available from: http://hdl.handle.net/2077/48788

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Michigan Technological University

12. Kumari, Sapna. IDENTIFICATION OF GENES CONTROLLING BIOLOGICAL PROCESSES AND PATHWAYS THROUGH STATISTICAL ANALYSIS AND NETWORK RECONSTRUCTION.

Degree: PhD, Department of Mathematical Sciences, 2013, Michigan Technological University

  The developmental processes and functions of an organism are controlled by the genes and the proteins that are derived from these genes. The identification… (more)

Subjects/Keywords: biological knowledge discovery; biostatistics; gene regulatory network; kernal machine learning; statistics; system biology; Biostatistics; Statistics and Probability

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APA (6th Edition):

Kumari, S. (2013). IDENTIFICATION OF GENES CONTROLLING BIOLOGICAL PROCESSES AND PATHWAYS THROUGH STATISTICAL ANALYSIS AND NETWORK RECONSTRUCTION. (Doctoral Dissertation). Michigan Technological University. Retrieved from http://digitalcommons.mtu.edu/etd-restricted/137

Chicago Manual of Style (16th Edition):

Kumari, Sapna. “IDENTIFICATION OF GENES CONTROLLING BIOLOGICAL PROCESSES AND PATHWAYS THROUGH STATISTICAL ANALYSIS AND NETWORK RECONSTRUCTION.” 2013. Doctoral Dissertation, Michigan Technological University. Accessed December 08, 2019. http://digitalcommons.mtu.edu/etd-restricted/137.

MLA Handbook (7th Edition):

Kumari, Sapna. “IDENTIFICATION OF GENES CONTROLLING BIOLOGICAL PROCESSES AND PATHWAYS THROUGH STATISTICAL ANALYSIS AND NETWORK RECONSTRUCTION.” 2013. Web. 08 Dec 2019.

Vancouver:

Kumari S. IDENTIFICATION OF GENES CONTROLLING BIOLOGICAL PROCESSES AND PATHWAYS THROUGH STATISTICAL ANALYSIS AND NETWORK RECONSTRUCTION. [Internet] [Doctoral dissertation]. Michigan Technological University; 2013. [cited 2019 Dec 08]. Available from: http://digitalcommons.mtu.edu/etd-restricted/137.

Council of Science Editors:

Kumari S. IDENTIFICATION OF GENES CONTROLLING BIOLOGICAL PROCESSES AND PATHWAYS THROUGH STATISTICAL ANALYSIS AND NETWORK RECONSTRUCTION. [Doctoral Dissertation]. Michigan Technological University; 2013. Available from: http://digitalcommons.mtu.edu/etd-restricted/137


Bowling Green State University

13. Davis, Elizabeth A. Diverse environmental Pseudomonas encode unique secondary metabolites that inhibit human pathogens.

Degree: MS, Biological Sciences, 2017, Bowling Green State University

 Antibiotic resistance has become a crisis of global proportions. People all over the world are dying from multidrug resistant infections, and it is predicted that… (more)

Subjects/Keywords: Biology; Microbiology; Molecular Biology; Cystic Fibrosis; environmental Pseudomonas; Pseudomonas aeruginosa; biosynthetic gene clusters; transposon mutagenesis; bioinformatics; antibiotic discovery

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APA (6th Edition):

Davis, E. A. (2017). Diverse environmental Pseudomonas encode unique secondary metabolites that inhibit human pathogens. (Masters Thesis). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1498481537530199

Chicago Manual of Style (16th Edition):

Davis, Elizabeth A. “Diverse environmental Pseudomonas encode unique secondary metabolites that inhibit human pathogens.” 2017. Masters Thesis, Bowling Green State University. Accessed December 08, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1498481537530199.

MLA Handbook (7th Edition):

Davis, Elizabeth A. “Diverse environmental Pseudomonas encode unique secondary metabolites that inhibit human pathogens.” 2017. Web. 08 Dec 2019.

Vancouver:

Davis EA. Diverse environmental Pseudomonas encode unique secondary metabolites that inhibit human pathogens. [Internet] [Masters thesis]. Bowling Green State University; 2017. [cited 2019 Dec 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1498481537530199.

Council of Science Editors:

Davis EA. Diverse environmental Pseudomonas encode unique secondary metabolites that inhibit human pathogens. [Masters Thesis]. Bowling Green State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1498481537530199


University of California – Riverside

14. Mirebrahim, Seyed Hamid. Efficient Methods for Analysis of Ultra-Deep Sequencing Data.

Degree: Computer Science, 2015, University of California – Riverside

 Thanks to continuous improvements in sequencing technologies, life scientists can now easily sequence DNA at depth of sequencing coverage in excess of 1,000x, especially for… (more)

Subjects/Keywords: Computer science; Bioinformatics; Assembly of NGS data; Gene discovery; Next Generation Sequencing data; SNP detection; Ultra-deep sequencing

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APA (6th Edition):

Mirebrahim, S. H. (2015). Efficient Methods for Analysis of Ultra-Deep Sequencing Data. (Thesis). University of California – Riverside. Retrieved from http://www.escholarship.org/uc/item/4md0c4bz

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mirebrahim, Seyed Hamid. “Efficient Methods for Analysis of Ultra-Deep Sequencing Data.” 2015. Thesis, University of California – Riverside. Accessed December 08, 2019. http://www.escholarship.org/uc/item/4md0c4bz.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mirebrahim, Seyed Hamid. “Efficient Methods for Analysis of Ultra-Deep Sequencing Data.” 2015. Web. 08 Dec 2019.

Vancouver:

Mirebrahim SH. Efficient Methods for Analysis of Ultra-Deep Sequencing Data. [Internet] [Thesis]. University of California – Riverside; 2015. [cited 2019 Dec 08]. Available from: http://www.escholarship.org/uc/item/4md0c4bz.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mirebrahim SH. Efficient Methods for Analysis of Ultra-Deep Sequencing Data. [Thesis]. University of California – Riverside; 2015. Available from: http://www.escholarship.org/uc/item/4md0c4bz

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

15. H. Binder. SLEEPING BEAUTY FINDS PARTNERS OF ONCOGENIC MYC - A TRANSPOSON-BASED INSERTIONAL MUTAGENESIS SCREEN IN THE EMU-MYC MOUSE.

Degree: 2014, Università degli Studi di Milano

 Myc triggers a transcriptional program inducing hyper-replication and proliferation but also tumor suppressive mechanisms like apoptosis. Therefore, Myc dependent tumors display high selective pressure to… (more)

Subjects/Keywords: lymphoma; insertional mutagenesis; mouse model; cancer gene discovery; myc; sleeping beauty; Settore BIO/11 - Biologia Molecolare

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APA (6th Edition):

Binder, H. (2014). SLEEPING BEAUTY FINDS PARTNERS OF ONCOGENIC MYC - A TRANSPOSON-BASED INSERTIONAL MUTAGENESIS SCREEN IN THE EMU-MYC MOUSE. (Thesis). Università degli Studi di Milano. Retrieved from http://hdl.handle.net/2434/234150

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Binder, H.. “SLEEPING BEAUTY FINDS PARTNERS OF ONCOGENIC MYC - A TRANSPOSON-BASED INSERTIONAL MUTAGENESIS SCREEN IN THE EMU-MYC MOUSE.” 2014. Thesis, Università degli Studi di Milano. Accessed December 08, 2019. http://hdl.handle.net/2434/234150.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Binder, H.. “SLEEPING BEAUTY FINDS PARTNERS OF ONCOGENIC MYC - A TRANSPOSON-BASED INSERTIONAL MUTAGENESIS SCREEN IN THE EMU-MYC MOUSE.” 2014. Web. 08 Dec 2019.

Vancouver:

Binder H. SLEEPING BEAUTY FINDS PARTNERS OF ONCOGENIC MYC - A TRANSPOSON-BASED INSERTIONAL MUTAGENESIS SCREEN IN THE EMU-MYC MOUSE. [Internet] [Thesis]. Università degli Studi di Milano; 2014. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/2434/234150.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Binder H. SLEEPING BEAUTY FINDS PARTNERS OF ONCOGENIC MYC - A TRANSPOSON-BASED INSERTIONAL MUTAGENESIS SCREEN IN THE EMU-MYC MOUSE. [Thesis]. Università degli Studi di Milano; 2014. Available from: http://hdl.handle.net/2434/234150

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Iowa State University

16. Nguyen, Yet. Multiple hypothesis testing and RNA-seq differential expression analysis accounting for dependence and relevant covariates.

Degree: 2018, Iowa State University

 This dissertation is a collection of four papers on the development of statistical methods for the analysis of high-dimensional data, mostly RNA-seq gene expression data.… (more)

Subjects/Keywords: False Discovery Rate; Gene Expression Analysis; High-dimensional Data; Longitudinal Data; Parametric Bootstrap; Variable Selection; Statistics and Probability

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APA (6th Edition):

Nguyen, Y. (2018). Multiple hypothesis testing and RNA-seq differential expression analysis accounting for dependence and relevant covariates. (Thesis). Iowa State University. Retrieved from https://lib.dr.iastate.edu/etd/16426

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Nguyen, Yet. “Multiple hypothesis testing and RNA-seq differential expression analysis accounting for dependence and relevant covariates.” 2018. Thesis, Iowa State University. Accessed December 08, 2019. https://lib.dr.iastate.edu/etd/16426.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Nguyen, Yet. “Multiple hypothesis testing and RNA-seq differential expression analysis accounting for dependence and relevant covariates.” 2018. Web. 08 Dec 2019.

Vancouver:

Nguyen Y. Multiple hypothesis testing and RNA-seq differential expression analysis accounting for dependence and relevant covariates. [Internet] [Thesis]. Iowa State University; 2018. [cited 2019 Dec 08]. Available from: https://lib.dr.iastate.edu/etd/16426.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nguyen Y. Multiple hypothesis testing and RNA-seq differential expression analysis accounting for dependence and relevant covariates. [Thesis]. Iowa State University; 2018. Available from: https://lib.dr.iastate.edu/etd/16426

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

17. PAUL MURIMA. Diagnostic expression profiles for mechanism of inhibitor action in mycobacteria.

Degree: 2009, National University of Singapore

Subjects/Keywords: Gene Expression; Drug Discovery; Antibiotic Mode of action.

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APA (6th Edition):

MURIMA, P. (2009). Diagnostic expression profiles for mechanism of inhibitor action in mycobacteria. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/15942

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

MURIMA, PAUL. “Diagnostic expression profiles for mechanism of inhibitor action in mycobacteria.” 2009. Thesis, National University of Singapore. Accessed December 08, 2019. http://scholarbank.nus.edu.sg/handle/10635/15942.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

MURIMA, PAUL. “Diagnostic expression profiles for mechanism of inhibitor action in mycobacteria.” 2009. Web. 08 Dec 2019.

Vancouver:

MURIMA P. Diagnostic expression profiles for mechanism of inhibitor action in mycobacteria. [Internet] [Thesis]. National University of Singapore; 2009. [cited 2019 Dec 08]. Available from: http://scholarbank.nus.edu.sg/handle/10635/15942.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

MURIMA P. Diagnostic expression profiles for mechanism of inhibitor action in mycobacteria. [Thesis]. National University of Singapore; 2009. Available from: http://scholarbank.nus.edu.sg/handle/10635/15942

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


New Jersey Institute of Technology

18. Oren, Marc. Finding role errors of the NCIT gene hierarchy using the NCBI.

Degree: MSin Computer Science - (M.S.), Computer Science, 2006, New Jersey Institute of Technology

  Due to the knowledge discovery process of gene information, details such as organism and chromosomal location should be known. Furthermore, the extensive biomedical research… (more)

Subjects/Keywords: Gene hierarchy; Role error discovery; Computer Sciences

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APA (6th Edition):

Oren, M. (2006). Finding role errors of the NCIT gene hierarchy using the NCBI. (Thesis). New Jersey Institute of Technology. Retrieved from https://digitalcommons.njit.edu/theses/432

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Oren, Marc. “Finding role errors of the NCIT gene hierarchy using the NCBI.” 2006. Thesis, New Jersey Institute of Technology. Accessed December 08, 2019. https://digitalcommons.njit.edu/theses/432.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Oren, Marc. “Finding role errors of the NCIT gene hierarchy using the NCBI.” 2006. Web. 08 Dec 2019.

Vancouver:

Oren M. Finding role errors of the NCIT gene hierarchy using the NCBI. [Internet] [Thesis]. New Jersey Institute of Technology; 2006. [cited 2019 Dec 08]. Available from: https://digitalcommons.njit.edu/theses/432.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Oren M. Finding role errors of the NCIT gene hierarchy using the NCBI. [Thesis]. New Jersey Institute of Technology; 2006. Available from: https://digitalcommons.njit.edu/theses/432

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Mahatma Gandhi University

19. Sreekumar, J. Statistical modelling and analysis of Microarray Gene Expression Data; -.

Degree: Statistics, 2013, Mahatma Gandhi University

DNA microarray experiments raise numerous statistical questions in different fields as diverse as image analysis, experimental design, hypothesis testing, cluster analysis and distribution theory etc.… (more)

Subjects/Keywords: autoregressive process; Microarray; gene expression; Generalized p value; Muliple hypothesis testing; False Discovery Rate; Bayesian variable selection; Principal component analysis; Partial Least Squares; Distribution theory

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APA (6th Edition):

Sreekumar, J. (2013). Statistical modelling and analysis of Microarray Gene Expression Data; -. (Thesis). Mahatma Gandhi University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/7110

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Sreekumar, J. “Statistical modelling and analysis of Microarray Gene Expression Data; -.” 2013. Thesis, Mahatma Gandhi University. Accessed December 08, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/7110.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Sreekumar, J. “Statistical modelling and analysis of Microarray Gene Expression Data; -.” 2013. Web. 08 Dec 2019.

Vancouver:

Sreekumar J. Statistical modelling and analysis of Microarray Gene Expression Data; -. [Internet] [Thesis]. Mahatma Gandhi University; 2013. [cited 2019 Dec 08]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/7110.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sreekumar J. Statistical modelling and analysis of Microarray Gene Expression Data; -. [Thesis]. Mahatma Gandhi University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/7110

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université de Montréal

20. Jacques, Samuel. Generation and screening of natural product-like compounds for antibiotic discovery .

Degree: 2016, Université de Montréal

 Avec l’apparition de plus en plus de souches de bactérie résistante aux antibiotiques, le développement de nouveaux antibiotiques est devenu une important problématique pour les… (more)

Subjects/Keywords: Découverte de médicaments; Métabolite secondaire; Biologie synthétique; Terpène; Chromosome artificiel de levure; Synthèse de gènes; Drug discovery; Natural product; Synthetic biology; Yeast artificial chromosome; Gene synthesis; Terpene

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APA (6th Edition):

Jacques, S. (2016). Generation and screening of natural product-like compounds for antibiotic discovery . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/16243

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jacques, Samuel. “Generation and screening of natural product-like compounds for antibiotic discovery .” 2016. Thesis, Université de Montréal. Accessed December 08, 2019. http://hdl.handle.net/1866/16243.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jacques, Samuel. “Generation and screening of natural product-like compounds for antibiotic discovery .” 2016. Web. 08 Dec 2019.

Vancouver:

Jacques S. Generation and screening of natural product-like compounds for antibiotic discovery . [Internet] [Thesis]. Université de Montréal; 2016. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1866/16243.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jacques S. Generation and screening of natural product-like compounds for antibiotic discovery . [Thesis]. Université de Montréal; 2016. Available from: http://hdl.handle.net/1866/16243

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

21. Liu, Ying. Text Mining Biomedical Literature for Genomic Knowledge Discovery.

Degree: PhD, Computing, 2005, Georgia Tech

 The last decade has been marked by unprecedented growth in both the production of biomedical data and the amount of published literature discussing it. Almost… (more)

Subjects/Keywords: Text mining; Biomedical literature; Gene function; Clustering; Genomic knowledge discovery; Microarray

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APA (6th Edition):

Liu, Y. (2005). Text Mining Biomedical Literature for Genomic Knowledge Discovery. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/7242

Chicago Manual of Style (16th Edition):

Liu, Ying. “Text Mining Biomedical Literature for Genomic Knowledge Discovery.” 2005. Doctoral Dissertation, Georgia Tech. Accessed December 08, 2019. http://hdl.handle.net/1853/7242.

MLA Handbook (7th Edition):

Liu, Ying. “Text Mining Biomedical Literature for Genomic Knowledge Discovery.” 2005. Web. 08 Dec 2019.

Vancouver:

Liu Y. Text Mining Biomedical Literature for Genomic Knowledge Discovery. [Internet] [Doctoral dissertation]. Georgia Tech; 2005. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1853/7242.

Council of Science Editors:

Liu Y. Text Mining Biomedical Literature for Genomic Knowledge Discovery. [Doctoral Dissertation]. Georgia Tech; 2005. Available from: http://hdl.handle.net/1853/7242


University of Akron

22. Kumar, Vivek. Computational Prediction of Protein-Protein Interactions on the Proteomic Scale Using Bayesian Ensemble of Multiple Feature Databases.

Degree: PhD, Biomedical Engineering, 2011, University of Akron

  In the post-genomic world, one of the most important and challenging problems is to understand protein-protein interactions (PPIs) on a large scale. They are… (more)

Subjects/Keywords: Bioinformatics; Biomedical Engineering; Biostatistics; Computer Science; Molecular Biology; protein-protein interactions; bayesian ensemble; proteome; databases; ontology; text mining; drug discovery; graphs; networks; semantic web; gene expression

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APA (6th Edition):

Kumar, V. (2011). Computational Prediction of Protein-Protein Interactions on the Proteomic Scale Using Bayesian Ensemble of Multiple Feature Databases. (Doctoral Dissertation). University of Akron. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=akron1322489637

Chicago Manual of Style (16th Edition):

Kumar, Vivek. “Computational Prediction of Protein-Protein Interactions on the Proteomic Scale Using Bayesian Ensemble of Multiple Feature Databases.” 2011. Doctoral Dissertation, University of Akron. Accessed December 08, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=akron1322489637.

MLA Handbook (7th Edition):

Kumar, Vivek. “Computational Prediction of Protein-Protein Interactions on the Proteomic Scale Using Bayesian Ensemble of Multiple Feature Databases.” 2011. Web. 08 Dec 2019.

Vancouver:

Kumar V. Computational Prediction of Protein-Protein Interactions on the Proteomic Scale Using Bayesian Ensemble of Multiple Feature Databases. [Internet] [Doctoral dissertation]. University of Akron; 2011. [cited 2019 Dec 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1322489637.

Council of Science Editors:

Kumar V. Computational Prediction of Protein-Protein Interactions on the Proteomic Scale Using Bayesian Ensemble of Multiple Feature Databases. [Doctoral Dissertation]. University of Akron; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=akron1322489637


University of Iowa

23. Chiang, Annie Pei-Fen. Comparative and integrative genomic approach toward disease gene identification: application to Bardet-Biedle Syndrome.

Degree: PhD, Genetics, 2006, University of Iowa

  The identification of disease genes (genes that when mutated cause human diseases) is an important and challenging problem. Proper diagnosis, prevention, as well as… (more)

Subjects/Keywords: disease gene discovery; Bardet-Biedl Syndrome; mutational screening; comparative genomics; Genetics; Medical Genetics

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APA (6th Edition):

Chiang, A. P. (2006). Comparative and integrative genomic approach toward disease gene identification: application to Bardet-Biedle Syndrome. (Doctoral Dissertation). University of Iowa. Retrieved from https://ir.uiowa.edu/etd/47

Chicago Manual of Style (16th Edition):

Chiang, Annie Pei-Fen. “Comparative and integrative genomic approach toward disease gene identification: application to Bardet-Biedle Syndrome.” 2006. Doctoral Dissertation, University of Iowa. Accessed December 08, 2019. https://ir.uiowa.edu/etd/47.

MLA Handbook (7th Edition):

Chiang, Annie Pei-Fen. “Comparative and integrative genomic approach toward disease gene identification: application to Bardet-Biedle Syndrome.” 2006. Web. 08 Dec 2019.

Vancouver:

Chiang AP. Comparative and integrative genomic approach toward disease gene identification: application to Bardet-Biedle Syndrome. [Internet] [Doctoral dissertation]. University of Iowa; 2006. [cited 2019 Dec 08]. Available from: https://ir.uiowa.edu/etd/47.

Council of Science Editors:

Chiang AP. Comparative and integrative genomic approach toward disease gene identification: application to Bardet-Biedle Syndrome. [Doctoral Dissertation]. University of Iowa; 2006. Available from: https://ir.uiowa.edu/etd/47


University of Toronto

24. Hui, Wing. Development of a Novel Pck-1: eGFP Reporter Zebrafish Line for the Discovery and Evaluation of Potential Anti-Diabetic Drugs.

Degree: 2013, University of Toronto

Overexpression of Phosphoenolpyruvate carboxykinase - cytosolic (PEPCK, encoded by Pck-1 gene) has been found to be associated with the prevalence of hyperglycemia in Type 2… (more)

Subjects/Keywords: Diabetes Mellitus; gluconeogenesis; PEPCK; Pck-1; zebrafish; drug discovery; transgenics; reporter line; high throughput screening; transposon; gene regulation; novel drugs; drug screen; microinjection; deletional analysis; physiology; 0719

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APA (6th Edition):

Hui, W. (2013). Development of a Novel Pck-1: eGFP Reporter Zebrafish Line for the Discovery and Evaluation of Potential Anti-Diabetic Drugs. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/42881

Chicago Manual of Style (16th Edition):

Hui, Wing. “Development of a Novel Pck-1: eGFP Reporter Zebrafish Line for the Discovery and Evaluation of Potential Anti-Diabetic Drugs.” 2013. Masters Thesis, University of Toronto. Accessed December 08, 2019. http://hdl.handle.net/1807/42881.

MLA Handbook (7th Edition):

Hui, Wing. “Development of a Novel Pck-1: eGFP Reporter Zebrafish Line for the Discovery and Evaluation of Potential Anti-Diabetic Drugs.” 2013. Web. 08 Dec 2019.

Vancouver:

Hui W. Development of a Novel Pck-1: eGFP Reporter Zebrafish Line for the Discovery and Evaluation of Potential Anti-Diabetic Drugs. [Internet] [Masters thesis]. University of Toronto; 2013. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1807/42881.

Council of Science Editors:

Hui W. Development of a Novel Pck-1: eGFP Reporter Zebrafish Line for the Discovery and Evaluation of Potential Anti-Diabetic Drugs. [Masters Thesis]. University of Toronto; 2013. Available from: http://hdl.handle.net/1807/42881

25. Joseph, Dani. Sequence Analysis of the REN1 Genomic Region from the Grapevine ‘Kishmish Vatkana’.

Degree: MSin Biology, Biology, 2019, Missouri State University

  The REN1 region of the grapevine ‘Kishmish Vatkana’ was mapped as the locus that confers resistance to the economically important disease, grape powdery mildew.… (more)

Subjects/Keywords: REN1; ‘Kishmish Vatkana’; plant disease resistance; Oxford Nanopore Technology; gene discovery; defense genes; haplotype; Bioinformatics; Biology; Biotechnology; Genetics; Molecular Genetics; Other Genetics and Genomics; Plant Pathology

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APA (6th Edition):

Joseph, D. (2019). Sequence Analysis of the REN1 Genomic Region from the Grapevine ‘Kishmish Vatkana’. (Masters Thesis). Missouri State University. Retrieved from https://bearworks.missouristate.edu/theses/3426

Chicago Manual of Style (16th Edition):

Joseph, Dani. “Sequence Analysis of the REN1 Genomic Region from the Grapevine ‘Kishmish Vatkana’.” 2019. Masters Thesis, Missouri State University. Accessed December 08, 2019. https://bearworks.missouristate.edu/theses/3426.

MLA Handbook (7th Edition):

Joseph, Dani. “Sequence Analysis of the REN1 Genomic Region from the Grapevine ‘Kishmish Vatkana’.” 2019. Web. 08 Dec 2019.

Vancouver:

Joseph D. Sequence Analysis of the REN1 Genomic Region from the Grapevine ‘Kishmish Vatkana’. [Internet] [Masters thesis]. Missouri State University; 2019. [cited 2019 Dec 08]. Available from: https://bearworks.missouristate.edu/theses/3426.

Council of Science Editors:

Joseph D. Sequence Analysis of the REN1 Genomic Region from the Grapevine ‘Kishmish Vatkana’. [Masters Thesis]. Missouri State University; 2019. Available from: https://bearworks.missouristate.edu/theses/3426


Bowling Green State University

26. Harris, Ryan A. Identification Of Genes Involved In The Production Of Novel Antimicrobial Products Capable Of Inhibiting Multi-Drug Resistant Pathogens.

Degree: MS, Biological Sciences, 2019, Bowling Green State University

 The research described here focuses on the phylogenetic characterization of water-derived pseudomonads and their antagonistic activity against multi-drug resistance (MDR) P. aeruginosa and Burkholderia species.… (more)

Subjects/Keywords: Biology; Microbiology; Antibiotic resistance; Pseudomonas; Pseudomonas aeruginosa; Antibiotics; Transposon mutagenesis; Arbitrary PCR; Antibiotic discovery; Novel antibiotics; Cystic fibrosis; multi-drug resistance; Biosynthetic gene clusters; Burkholderia

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APA (6th Edition):

Harris, R. A. (2019). Identification Of Genes Involved In The Production Of Novel Antimicrobial Products Capable Of Inhibiting Multi-Drug Resistant Pathogens. (Masters Thesis). Bowling Green State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562068774992706

Chicago Manual of Style (16th Edition):

Harris, Ryan A. “Identification Of Genes Involved In The Production Of Novel Antimicrobial Products Capable Of Inhibiting Multi-Drug Resistant Pathogens.” 2019. Masters Thesis, Bowling Green State University. Accessed December 08, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562068774992706.

MLA Handbook (7th Edition):

Harris, Ryan A. “Identification Of Genes Involved In The Production Of Novel Antimicrobial Products Capable Of Inhibiting Multi-Drug Resistant Pathogens.” 2019. Web. 08 Dec 2019.

Vancouver:

Harris RA. Identification Of Genes Involved In The Production Of Novel Antimicrobial Products Capable Of Inhibiting Multi-Drug Resistant Pathogens. [Internet] [Masters thesis]. Bowling Green State University; 2019. [cited 2019 Dec 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562068774992706.

Council of Science Editors:

Harris RA. Identification Of Genes Involved In The Production Of Novel Antimicrobial Products Capable Of Inhibiting Multi-Drug Resistant Pathogens. [Masters Thesis]. Bowling Green State University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1562068774992706


University of New South Wales

27. Lin, Frank Po-Yen. In silico virulence prediction and virulence gene discovery of Streptococcus agalactiae.

Degree: Centre for Health Informatics, 2009, University of New South Wales

 Physicians frequently face challenges in predicting which bacterial subpopulations are likely to cause severe infections. A more accurate prediction of virulence would improve diagnostics and… (more)

Subjects/Keywords: Candidate gene prioritisation; Translational bioinformatics; Streptococcus agalactiae; Virulence prediction; Virulence gene discovery; Bacterial genomics; Molecular epidemiology

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APA (6th Edition):

Lin, F. P. (2009). In silico virulence prediction and virulence gene discovery of Streptococcus agalactiae. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/44382 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:7737/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Lin, Frank Po-Yen. “In silico virulence prediction and virulence gene discovery of Streptococcus agalactiae.” 2009. Doctoral Dissertation, University of New South Wales. Accessed December 08, 2019. http://handle.unsw.edu.au/1959.4/44382 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:7737/SOURCE01?view=true.

MLA Handbook (7th Edition):

Lin, Frank Po-Yen. “In silico virulence prediction and virulence gene discovery of Streptococcus agalactiae.” 2009. Web. 08 Dec 2019.

Vancouver:

Lin FP. In silico virulence prediction and virulence gene discovery of Streptococcus agalactiae. [Internet] [Doctoral dissertation]. University of New South Wales; 2009. [cited 2019 Dec 08]. Available from: http://handle.unsw.edu.au/1959.4/44382 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:7737/SOURCE01?view=true.

Council of Science Editors:

Lin FP. In silico virulence prediction and virulence gene discovery of Streptococcus agalactiae. [Doctoral Dissertation]. University of New South Wales; 2009. Available from: http://handle.unsw.edu.au/1959.4/44382 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:7737/SOURCE01?view=true


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

28. Τζανής, Γεώργιος. Ανακάλυψη γνώσης από βιολογικά δεδομένα.

Degree: 2011, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

During the last decades the major advances in informatics and biology have attracted the interest of all humanity. The growth of World Wide Web and… (more)

Subjects/Keywords: Ανακάλυψη γνώσης; Βιοπληροφορική; Κανόνες συσχέτισης; Πρόβλεψη; Γονιδιακή έκφραση; Σημείο έναρξης της μετάφρασης; Σημείο αποκοπής και πολυαδενυλίωσης; Μηχανική μάθηση; Knowledge discovery; Bioinformatics; Association rules; Prediction; Gene expression; Translation initiation site; Cleavage and polyadenylation site; Machine learning

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APA (6th Edition):

Τζανής, . . (2011). Ανακάλυψη γνώσης από βιολογικά δεδομένα. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/25012

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Τζανής, Γεώργιος. “Ανακάλυψη γνώσης από βιολογικά δεδομένα.” 2011. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed December 08, 2019. http://hdl.handle.net/10442/hedi/25012.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Τζανής, Γεώργιος. “Ανακάλυψη γνώσης από βιολογικά δεδομένα.” 2011. Web. 08 Dec 2019.

Vancouver:

Τζανής . Ανακάλυψη γνώσης από βιολογικά δεδομένα. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2011. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/10442/hedi/25012.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Τζανής . Ανακάλυψη γνώσης από βιολογικά δεδομένα. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2011. Available from: http://hdl.handle.net/10442/hedi/25012

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Université de Montréal

29. Aid, Malika. Une nouvelle approche computationnelle pour la découverte des sites de fixation de facteurs de transcription à l’ADN, adaptée aux données de ChIP-chip et de ChIP-séquençage .

Degree: 2014, Université de Montréal

 Les facteurs de transcription sont des protéines spécialisées qui jouent un rôle important dans différents processus biologiques tel que la différenciation, le cycle cellulaire et… (more)

Subjects/Keywords: ChIP-chip; ChIP-séquençage; réseau de régulation des gènes; facteurs de transcription; découverte de motifs d’ADN; fonctions de score; éléments cis-régulateurs; cancer du sein; récepteur des œstrogènes; gene regulatory network; DNA motifs discovery; scoring functions; TFBS; TF

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

APA (6th Edition):

Aid, M. (2014). Une nouvelle approche computationnelle pour la découverte des sites de fixation de facteurs de transcription à l’ADN, adaptée aux données de ChIP-chip et de ChIP-séquençage . (Thesis). Université de Montréal. Retrieved from http://hdl.handle.net/1866/12729

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Aid, Malika. “Une nouvelle approche computationnelle pour la découverte des sites de fixation de facteurs de transcription à l’ADN, adaptée aux données de ChIP-chip et de ChIP-séquençage .” 2014. Thesis, Université de Montréal. Accessed December 08, 2019. http://hdl.handle.net/1866/12729.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Aid, Malika. “Une nouvelle approche computationnelle pour la découverte des sites de fixation de facteurs de transcription à l’ADN, adaptée aux données de ChIP-chip et de ChIP-séquençage .” 2014. Web. 08 Dec 2019.

Vancouver:

Aid M. Une nouvelle approche computationnelle pour la découverte des sites de fixation de facteurs de transcription à l’ADN, adaptée aux données de ChIP-chip et de ChIP-séquençage . [Internet] [Thesis]. Université de Montréal; 2014. [cited 2019 Dec 08]. Available from: http://hdl.handle.net/1866/12729.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Aid M. Une nouvelle approche computationnelle pour la découverte des sites de fixation de facteurs de transcription à l’ADN, adaptée aux données de ChIP-chip et de ChIP-séquençage . [Thesis]. Université de Montréal; 2014. Available from: http://hdl.handle.net/1866/12729

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

30. Cicek, A. Ercument. METABOLIC NETWORK-BASED ANALYSES OF OMICS DATA.

Degree: PhD, EECS - Computer and Information Sciences, 2013, Case Western Reserve University

 Omics studies have shed light to human metabolism for decades, with the advancement of high throughput screening technologies. Each domain provides traces of information that… (more)

Subjects/Keywords: Bioinformatics; Computer Science; Metabolomics; Transcriptomics; Metabolic Network; Gene Expression; Knowledge Discovery

…of gene expression analysis and flux measurements on DNL… …121 Figure 4.7 Average gene and reaction connectivity of the… …Gene interaction networks [2], protein interaction networks… …genome-­‐scale metabolic network topology and the gene annotations… …x5B;12-14]. However, reporter algorithm considers changes in individual gene expression… 

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

APA (6th Edition):

Cicek, A. E. (2013). METABOLIC NETWORK-BASED ANALYSES OF OMICS DATA. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1372866879

Chicago Manual of Style (16th Edition):

Cicek, A Ercument. “METABOLIC NETWORK-BASED ANALYSES OF OMICS DATA.” 2013. Doctoral Dissertation, Case Western Reserve University. Accessed December 08, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1372866879.

MLA Handbook (7th Edition):

Cicek, A Ercument. “METABOLIC NETWORK-BASED ANALYSES OF OMICS DATA.” 2013. Web. 08 Dec 2019.

Vancouver:

Cicek AE. METABOLIC NETWORK-BASED ANALYSES OF OMICS DATA. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2013. [cited 2019 Dec 08]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1372866879.

Council of Science Editors:

Cicek AE. METABOLIC NETWORK-BASED ANALYSES OF OMICS DATA. [Doctoral Dissertation]. Case Western Reserve University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1372866879

[1] [2]

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