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You searched for subject:(Biomarker discovery). Showing records 1 – 30 of 34 total matches.

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University of Alberta

1. Chan, Angela W. Urinary Metabolomics of Gastric Cancer.

Degree: MS, School of Public Health, 2015, University of Alberta

 Gastric cancer is an aggressive malignancy. Much of the mortality is attributable to delayed diagnosis from non-specific symptoms, and lack of early and accurate screening… (more)

Subjects/Keywords: biomarker discovery; metabolomics; screening; gastric cancer

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APA (6th Edition):

Chan, A. W. (2015). Urinary Metabolomics of Gastric Cancer. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/6d5700510

Chicago Manual of Style (16th Edition):

Chan, Angela W. “Urinary Metabolomics of Gastric Cancer.” 2015. Masters Thesis, University of Alberta. Accessed October 18, 2019. https://era.library.ualberta.ca/files/6d5700510.

MLA Handbook (7th Edition):

Chan, Angela W. “Urinary Metabolomics of Gastric Cancer.” 2015. Web. 18 Oct 2019.

Vancouver:

Chan AW. Urinary Metabolomics of Gastric Cancer. [Internet] [Masters thesis]. University of Alberta; 2015. [cited 2019 Oct 18]. Available from: https://era.library.ualberta.ca/files/6d5700510.

Council of Science Editors:

Chan AW. Urinary Metabolomics of Gastric Cancer. [Masters Thesis]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/6d5700510


University of the Western Cape

2. Khan, Firdous. Identification of miRNA's as specific biomarkers in prostate cancer diagnostics : a combined in silico and molecular approach .

Degree: 2015, University of the Western Cape

 There are over 100 different types of cancer, and each of these cancers are classified by the type of cell that it initially affects. For… (more)

Subjects/Keywords: Prostate cancer; miRNA; Bioinformatics; Biomarker discovery

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APA (6th Edition):

Khan, F. (2015). Identification of miRNA's as specific biomarkers in prostate cancer diagnostics : a combined in silico and molecular approach . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/4746

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):

Khan, Firdous. “Identification of miRNA's as specific biomarkers in prostate cancer diagnostics : a combined in silico and molecular approach .” 2015. Thesis, University of the Western Cape. Accessed October 18, 2019. http://hdl.handle.net/11394/4746.

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

MLA Handbook (7th Edition):

Khan, Firdous. “Identification of miRNA's as specific biomarkers in prostate cancer diagnostics : a combined in silico and molecular approach .” 2015. Web. 18 Oct 2019.

Vancouver:

Khan F. Identification of miRNA's as specific biomarkers in prostate cancer diagnostics : a combined in silico and molecular approach . [Internet] [Thesis]. University of the Western Cape; 2015. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/11394/4746.

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

Council of Science Editors:

Khan F. Identification of miRNA's as specific biomarkers in prostate cancer diagnostics : a combined in silico and molecular approach . [Thesis]. University of the Western Cape; 2015. Available from: http://hdl.handle.net/11394/4746

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


University of Plymouth

3. Long, Jintao. Discovering biomarkers of Alzheimer's disease by statistical learning approaches.

Degree: PhD, 2019, University of Plymouth

 In this work, statistical learning approaches are exploited to discover biomarkers for Alzheimer's disease (AD). The contributions has been made in the fields of both… (more)

Subjects/Keywords: Bioinformatics; Statistical learning; Alzheimer's disease; Biomarker discovery

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APA (6th Edition):

Long, J. (2019). Discovering biomarkers of Alzheimer's disease by statistical learning approaches. (Doctoral Dissertation). University of Plymouth. Retrieved from http://hdl.handle.net/10026.1/13442

Chicago Manual of Style (16th Edition):

Long, Jintao. “Discovering biomarkers of Alzheimer's disease by statistical learning approaches.” 2019. Doctoral Dissertation, University of Plymouth. Accessed October 18, 2019. http://hdl.handle.net/10026.1/13442.

MLA Handbook (7th Edition):

Long, Jintao. “Discovering biomarkers of Alzheimer's disease by statistical learning approaches.” 2019. Web. 18 Oct 2019.

Vancouver:

Long J. Discovering biomarkers of Alzheimer's disease by statistical learning approaches. [Internet] [Doctoral dissertation]. University of Plymouth; 2019. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10026.1/13442.

Council of Science Editors:

Long J. Discovering biomarkers of Alzheimer's disease by statistical learning approaches. [Doctoral Dissertation]. University of Plymouth; 2019. Available from: http://hdl.handle.net/10026.1/13442


Virginia Tech

4. Zuo, Yiming. Differential Network Analysis based on Omic Data for Cancer Biomarker Discovery.

Degree: PhD, Electrical and Computer Engineering, 2017, Virginia Tech

 Recent advances in high-throughput technique enables the generation of a large amount of omic data such as genomics, transcriptomics, proteomics, metabolomics, glycomics etc. Typically, differential… (more)

Subjects/Keywords: differential expression analysis; differential network analysis; cancer biomarker discovery

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APA (6th Edition):

Zuo, Y. (2017). Differential Network Analysis based on Omic Data for Cancer Biomarker Discovery. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78217

Chicago Manual of Style (16th Edition):

Zuo, Yiming. “Differential Network Analysis based on Omic Data for Cancer Biomarker Discovery.” 2017. Doctoral Dissertation, Virginia Tech. Accessed October 18, 2019. http://hdl.handle.net/10919/78217.

MLA Handbook (7th Edition):

Zuo, Yiming. “Differential Network Analysis based on Omic Data for Cancer Biomarker Discovery.” 2017. Web. 18 Oct 2019.

Vancouver:

Zuo Y. Differential Network Analysis based on Omic Data for Cancer Biomarker Discovery. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10919/78217.

Council of Science Editors:

Zuo Y. Differential Network Analysis based on Omic Data for Cancer Biomarker Discovery. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78217


University of Ottawa

5. Ghobadloo, Shahrokh. From Virus Protection to Cell Isolation and Biomarker Discovery with Aptamers .

Degree: 2017, University of Ottawa

 New affinity molecules such as nucleic acid aptamers are in demand in the science and medical fields. Current aptamer selection technologies can generate unique aptamers… (more)

Subjects/Keywords: Virus protection; Cell isolation; Biomarker discovery; Oncolytic Virus; Aptamers

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APA (6th Edition):

Ghobadloo, S. (2017). From Virus Protection to Cell Isolation and Biomarker Discovery with Aptamers . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/36615

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):

Ghobadloo, Shahrokh. “From Virus Protection to Cell Isolation and Biomarker Discovery with Aptamers .” 2017. Thesis, University of Ottawa. Accessed October 18, 2019. http://hdl.handle.net/10393/36615.

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

MLA Handbook (7th Edition):

Ghobadloo, Shahrokh. “From Virus Protection to Cell Isolation and Biomarker Discovery with Aptamers .” 2017. Web. 18 Oct 2019.

Vancouver:

Ghobadloo S. From Virus Protection to Cell Isolation and Biomarker Discovery with Aptamers . [Internet] [Thesis]. University of Ottawa; 2017. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10393/36615.

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

Council of Science Editors:

Ghobadloo S. From Virus Protection to Cell Isolation and Biomarker Discovery with Aptamers . [Thesis]. University of Ottawa; 2017. Available from: http://hdl.handle.net/10393/36615

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


University of California – Berkeley

6. Tuglus, Catherine Ann. Robust Semiparametric Regression Estimation Using Targeted Maximum Likelihood with Application to Biomarker Discovery and Epidemiology.

Degree: Biostatistics, 2010, University of California – Berkeley

 In many scientific studies the goal is to determine the effect of a particular feature or variable on a given outcome in order to help… (more)

Subjects/Keywords: Biostatistics; Statistics; Biomarker Discovery; Robust Estimation; Semiparametric Models; Targeted Maximum Likelihood; Variable Importance

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APA (6th Edition):

Tuglus, C. A. (2010). Robust Semiparametric Regression Estimation Using Targeted Maximum Likelihood with Application to Biomarker Discovery and Epidemiology. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/4d23q03b

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):

Tuglus, Catherine Ann. “Robust Semiparametric Regression Estimation Using Targeted Maximum Likelihood with Application to Biomarker Discovery and Epidemiology.” 2010. Thesis, University of California – Berkeley. Accessed October 18, 2019. http://www.escholarship.org/uc/item/4d23q03b.

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

MLA Handbook (7th Edition):

Tuglus, Catherine Ann. “Robust Semiparametric Regression Estimation Using Targeted Maximum Likelihood with Application to Biomarker Discovery and Epidemiology.” 2010. Web. 18 Oct 2019.

Vancouver:

Tuglus CA. Robust Semiparametric Regression Estimation Using Targeted Maximum Likelihood with Application to Biomarker Discovery and Epidemiology. [Internet] [Thesis]. University of California – Berkeley; 2010. [cited 2019 Oct 18]. Available from: http://www.escholarship.org/uc/item/4d23q03b.

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

Council of Science Editors:

Tuglus CA. Robust Semiparametric Regression Estimation Using Targeted Maximum Likelihood with Application to Biomarker Discovery and Epidemiology. [Thesis]. University of California – Berkeley; 2010. Available from: http://www.escholarship.org/uc/item/4d23q03b

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


University of Manchester

7. 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 October 18, 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. 18 Oct 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 Oct 18]. 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 Cincinnati

8. Sundaramurthy, Gopinath. A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from Microarray or RNA-Seq Datasets.

Degree: PhD, Medicine: Systems Biology and Physiology, 2016, University of Cincinnati

 The response to perturbations in cellular systems is governed by a large number of molecular circuits that coalesce into a complex network. In complex diseases,… (more)

Subjects/Keywords: Bioinformatics; Biomarker discovery; Probabilistic modeling; Network analysis; Expression Analysis; Complex disease; Genomics

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APA (6th Edition):

Sundaramurthy, G. (2016). A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from Microarray or RNA-Seq Datasets. (Doctoral Dissertation). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1459528594

Chicago Manual of Style (16th Edition):

Sundaramurthy, Gopinath. “A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from Microarray or RNA-Seq Datasets.” 2016. Doctoral Dissertation, University of Cincinnati. Accessed October 18, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1459528594.

MLA Handbook (7th Edition):

Sundaramurthy, Gopinath. “A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from Microarray or RNA-Seq Datasets.” 2016. Web. 18 Oct 2019.

Vancouver:

Sundaramurthy G. A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from Microarray or RNA-Seq Datasets. [Internet] [Doctoral dissertation]. University of Cincinnati; 2016. [cited 2019 Oct 18]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1459528594.

Council of Science Editors:

Sundaramurthy G. A Probabilistic Approach for Automated Discovery of Biomarkers using Expression Data from Microarray or RNA-Seq Datasets. [Doctoral Dissertation]. University of Cincinnati; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1459528594


Virginia Tech

9. 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 October 18, 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. 18 Oct 2019.

Vancouver:

Zhang Y. Module_based Analysis of Biological Data for Network Inference and Biomarker Discovery. [Internet] [Doctoral dissertation]. Virginia Tech; 2010. [cited 2019 Oct 18]. 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


Virginia Tech

10. Velmurugan, Karthik Raja. Novel Microsatellite Detection, Microsatellite Based Biomarker Discovery In Lung Cancer And The Exome-Wide Effects Of A Dysfunctional DNA Repair Mechanism.

Degree: PhD, Animal and Poultry Sciences, 2017, Virginia Tech

 Since the dawn of the genomics era, the genetics of numerous human disorders has been understood which has led to improvements in targeted therapeutics. However,… (more)

Subjects/Keywords: Microsatellite; Next-Generation Sequencing; Lung Cancer; Fanconi Anemia; Biomarker Discovery; Bioinformatics algorithm

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APA (6th Edition):

Velmurugan, K. R. (2017). Novel Microsatellite Detection, Microsatellite Based Biomarker Discovery In Lung Cancer And The Exome-Wide Effects Of A Dysfunctional DNA Repair Mechanism. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/85506

Chicago Manual of Style (16th Edition):

Velmurugan, Karthik Raja. “Novel Microsatellite Detection, Microsatellite Based Biomarker Discovery In Lung Cancer And The Exome-Wide Effects Of A Dysfunctional DNA Repair Mechanism.” 2017. Doctoral Dissertation, Virginia Tech. Accessed October 18, 2019. http://hdl.handle.net/10919/85506.

MLA Handbook (7th Edition):

Velmurugan, Karthik Raja. “Novel Microsatellite Detection, Microsatellite Based Biomarker Discovery In Lung Cancer And The Exome-Wide Effects Of A Dysfunctional DNA Repair Mechanism.” 2017. Web. 18 Oct 2019.

Vancouver:

Velmurugan KR. Novel Microsatellite Detection, Microsatellite Based Biomarker Discovery In Lung Cancer And The Exome-Wide Effects Of A Dysfunctional DNA Repair Mechanism. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10919/85506.

Council of Science Editors:

Velmurugan KR. Novel Microsatellite Detection, Microsatellite Based Biomarker Discovery In Lung Cancer And The Exome-Wide Effects Of A Dysfunctional DNA Repair Mechanism. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/85506


University of Manchester

11. 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 October 18, 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. 18 Oct 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 Oct 18]. 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


Princeton University

12. Guzman, Yannis Antonio. Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery .

Degree: PhD, 2016, Princeton University

 This dissertation advances the field of optimization by providing theoretical advances in robust optimization, feature selection, and biomarker discovery. A number of bounds and expressions… (more)

Subjects/Keywords: Biomarker discovery; Feature selection; Mathematical optimization; Optimization under uncertainty; Support vector machines

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APA (6th Edition):

Guzman, Y. A. (2016). Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery . (Doctoral Dissertation). Princeton University. Retrieved from http://arks.princeton.edu/ark:/88435/dsp015h73pz55w

Chicago Manual of Style (16th Edition):

Guzman, Yannis Antonio. “Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery .” 2016. Doctoral Dissertation, Princeton University. Accessed October 18, 2019. http://arks.princeton.edu/ark:/88435/dsp015h73pz55w.

MLA Handbook (7th Edition):

Guzman, Yannis Antonio. “Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery .” 2016. Web. 18 Oct 2019.

Vancouver:

Guzman YA. Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery . [Internet] [Doctoral dissertation]. Princeton University; 2016. [cited 2019 Oct 18]. Available from: http://arks.princeton.edu/ark:/88435/dsp015h73pz55w.

Council of Science Editors:

Guzman YA. Theoretical Advances in Robust Optimization, Feature Selection, and Biomarker Discovery . [Doctoral Dissertation]. Princeton University; 2016. Available from: http://arks.princeton.edu/ark:/88435/dsp015h73pz55w

13. A. Pancotti. PROTEOMIC APPROACHES IN DRUGS AND BIOMARKERS DISCOVERY.

Degree: 2013, Università degli Studi di Milano

 DOTTORATO DI RICERCA IN CHIMICA DEL FARMACO (XXV CICLO) Proteomic approaches in Drugs and Biomarkers Discovery Dott. Andrea Pancotti Tutor: Prof. Marina Carini Co-tutor: Prof.… (more)

Subjects/Keywords: MALARIA; CHEMICAL PROTEOMICS; TARGET IDENTIFICATION; OXIDATIVE STRESS; CYS 34; HIS 146; BIOMARKER DISCOVERY; Settore CHIM/08 - Chimica Farmaceutica

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APA (6th Edition):

Pancotti, A. (2013). PROTEOMIC APPROACHES IN DRUGS AND BIOMARKERS DISCOVERY. (Thesis). Università degli Studi di Milano. Retrieved from http://hdl.handle.net/2434/217538

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):

Pancotti, A.. “PROTEOMIC APPROACHES IN DRUGS AND BIOMARKERS DISCOVERY.” 2013. Thesis, Università degli Studi di Milano. Accessed October 18, 2019. http://hdl.handle.net/2434/217538.

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

MLA Handbook (7th Edition):

Pancotti, A.. “PROTEOMIC APPROACHES IN DRUGS AND BIOMARKERS DISCOVERY.” 2013. Web. 18 Oct 2019.

Vancouver:

Pancotti A. PROTEOMIC APPROACHES IN DRUGS AND BIOMARKERS DISCOVERY. [Internet] [Thesis]. Università degli Studi di Milano; 2013. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2434/217538.

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

Council of Science Editors:

Pancotti A. PROTEOMIC APPROACHES IN DRUGS AND BIOMARKERS DISCOVERY. [Thesis]. Università degli Studi di Milano; 2013. Available from: http://hdl.handle.net/2434/217538

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


University of the Western Cape

14. Mofokeng, Henrietta Refiloe. Identification of a transducin (beta)-like 3 protein as a potential biomarker of prediabetes from rat urine using proteomics .

Degree: 2010, University of the Western Cape

 Obesity is a globally increasing disease particularly in developing countries and among children. It is mainly caused by intake of diets high in fat and… (more)

Subjects/Keywords: Obesity; Type II diabetes; Prediabetes; Biomarker discovery; Proteomics; High fat diet; 1D; SDS-PAGE; 2D SDS-PAGE; Urine; Mass spectrometry

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APA (6th Edition):

Mofokeng, H. R. (2010). Identification of a transducin (beta)-like 3 protein as a potential biomarker of prediabetes from rat urine using proteomics . (Thesis). University of the Western Cape. Retrieved from http://hdl.handle.net/11394/1440

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):

Mofokeng, Henrietta Refiloe. “Identification of a transducin (beta)-like 3 protein as a potential biomarker of prediabetes from rat urine using proteomics .” 2010. Thesis, University of the Western Cape. Accessed October 18, 2019. http://hdl.handle.net/11394/1440.

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

MLA Handbook (7th Edition):

Mofokeng, Henrietta Refiloe. “Identification of a transducin (beta)-like 3 protein as a potential biomarker of prediabetes from rat urine using proteomics .” 2010. Web. 18 Oct 2019.

Vancouver:

Mofokeng HR. Identification of a transducin (beta)-like 3 protein as a potential biomarker of prediabetes from rat urine using proteomics . [Internet] [Thesis]. University of the Western Cape; 2010. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/11394/1440.

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

Council of Science Editors:

Mofokeng HR. Identification of a transducin (beta)-like 3 protein as a potential biomarker of prediabetes from rat urine using proteomics . [Thesis]. University of the Western Cape; 2010. Available from: http://hdl.handle.net/11394/1440

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

15. Tsai, Tsung-Heng. Bayesian Alignment Model for Analysis of LC-MS-based Omic Data.

Degree: PhD, Electrical and Computer Engineering, 2014, Virginia Tech

 Liquid chromatography coupled with mass spectrometry (LC-MS) has been widely used in various omic studies for biomarker discovery. Appropriate LC-MS data preprocessing steps are needed… (more)

Subjects/Keywords: alignment; Bayesian inference; biomarker discovery; liquid chromatography-mass spectrometry (LC-MS); Markov chain Monte Carlo (MCMC)

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APA (6th Edition):

Tsai, T. (2014). Bayesian Alignment Model for Analysis of LC-MS-based Omic Data. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/64151

Chicago Manual of Style (16th Edition):

Tsai, Tsung-Heng. “Bayesian Alignment Model for Analysis of LC-MS-based Omic Data.” 2014. Doctoral Dissertation, Virginia Tech. Accessed October 18, 2019. http://hdl.handle.net/10919/64151.

MLA Handbook (7th Edition):

Tsai, Tsung-Heng. “Bayesian Alignment Model for Analysis of LC-MS-based Omic Data.” 2014. Web. 18 Oct 2019.

Vancouver:

Tsai T. Bayesian Alignment Model for Analysis of LC-MS-based Omic Data. [Internet] [Doctoral dissertation]. Virginia Tech; 2014. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10919/64151.

Council of Science Editors:

Tsai T. Bayesian Alignment Model for Analysis of LC-MS-based Omic Data. [Doctoral Dissertation]. Virginia Tech; 2014. Available from: http://hdl.handle.net/10919/64151


Virginia Tech

16. Wang, Minkun. Topic Model-based Mass Spectrometric Data Analysis in Cancer Biomarker Discovery Studies.

Degree: PhD, Electrical and Computer Engineering, 2017, Virginia Tech

 Identification of disease-related alterations in molecular and cellular mechanisms may reveal useful biomarkers for human diseases including cancers. High-throughput omic technologies for identifying and quantifying… (more)

Subjects/Keywords: topic model; computational purification; Bayesian inference; biomarker discovery; liquid/gas chromatography-mass spectrometry (LC/GC-MS)

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APA (6th Edition):

Wang, M. (2017). Topic Model-based Mass Spectrometric Data Analysis in Cancer Biomarker Discovery Studies. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78201

Chicago Manual of Style (16th Edition):

Wang, Minkun. “Topic Model-based Mass Spectrometric Data Analysis in Cancer Biomarker Discovery Studies.” 2017. Doctoral Dissertation, Virginia Tech. Accessed October 18, 2019. http://hdl.handle.net/10919/78201.

MLA Handbook (7th Edition):

Wang, Minkun. “Topic Model-based Mass Spectrometric Data Analysis in Cancer Biomarker Discovery Studies.” 2017. Web. 18 Oct 2019.

Vancouver:

Wang M. Topic Model-based Mass Spectrometric Data Analysis in Cancer Biomarker Discovery Studies. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10919/78201.

Council of Science Editors:

Wang M. Topic Model-based Mass Spectrometric Data Analysis in Cancer Biomarker Discovery Studies. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/78201


KTH

17. Mohsenchian, Atefeh. Biomarker discovery for ALS by using affinity proteomica.

Degree: Biotechnology (BIO), 2012, KTH

Subjects/Keywords: Biomarker discovery; protein microarray; affinity proteomics; plasma; ALS

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

APA (6th Edition):

Mohsenchian, A. (2012). Biomarker discovery for ALS by using affinity proteomica. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-149440

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):

Mohsenchian, Atefeh. “Biomarker discovery for ALS by using affinity proteomica.” 2012. Thesis, KTH. Accessed October 18, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-149440.

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

MLA Handbook (7th Edition):

Mohsenchian, Atefeh. “Biomarker discovery for ALS by using affinity proteomica.” 2012. Web. 18 Oct 2019.

Vancouver:

Mohsenchian A. Biomarker discovery for ALS by using affinity proteomica. [Internet] [Thesis]. KTH; 2012. [cited 2019 Oct 18]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-149440.

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

Council of Science Editors:

Mohsenchian A. Biomarker discovery for ALS by using affinity proteomica. [Thesis]. KTH; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-149440

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

18. Cirkel, GA. Strategies to overcome antineoplastic drug resistance.

Degree: 2016, University Utrecht

 This thesis focuses on various strategies to deal with cancer drug resistance and improve treatment efficacy. Technological advances have enabled researchers to gain more insight… (more)

Subjects/Keywords: personalized cancer treatment; drug resistance; clinical trials; biomarker discovery

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

APA (6th Edition):

Cirkel, G. (2016). Strategies to overcome antineoplastic drug resistance. (Doctoral Dissertation). University Utrecht. Retrieved from http://dspace.library.uu.nl/handle/1874/343114 ; URN:NBN:NL:UI:10-1874-343114 ; urn:isbn:978-94-6233-412-0 ; URN:NBN:NL:UI:10-1874-343114 ; http://dspace.library.uu.nl/handle/1874/343114

Chicago Manual of Style (16th Edition):

Cirkel, GA. “Strategies to overcome antineoplastic drug resistance.” 2016. Doctoral Dissertation, University Utrecht. Accessed October 18, 2019. http://dspace.library.uu.nl/handle/1874/343114 ; URN:NBN:NL:UI:10-1874-343114 ; urn:isbn:978-94-6233-412-0 ; URN:NBN:NL:UI:10-1874-343114 ; http://dspace.library.uu.nl/handle/1874/343114.

MLA Handbook (7th Edition):

Cirkel, GA. “Strategies to overcome antineoplastic drug resistance.” 2016. Web. 18 Oct 2019.

Vancouver:

Cirkel G. Strategies to overcome antineoplastic drug resistance. [Internet] [Doctoral dissertation]. University Utrecht; 2016. [cited 2019 Oct 18]. Available from: http://dspace.library.uu.nl/handle/1874/343114 ; URN:NBN:NL:UI:10-1874-343114 ; urn:isbn:978-94-6233-412-0 ; URN:NBN:NL:UI:10-1874-343114 ; http://dspace.library.uu.nl/handle/1874/343114.

Council of Science Editors:

Cirkel G. Strategies to overcome antineoplastic drug resistance. [Doctoral Dissertation]. University Utrecht; 2016. Available from: http://dspace.library.uu.nl/handle/1874/343114 ; URN:NBN:NL:UI:10-1874-343114 ; urn:isbn:978-94-6233-412-0 ; URN:NBN:NL:UI:10-1874-343114 ; http://dspace.library.uu.nl/handle/1874/343114


McMaster University

19. Saoi, Michelle. Multiplexed Separations for New Advances in Biomarker Discovery and Tissue Metabolomic Studies.

Degree: PhD, 2019, McMaster University

PhD Thesis

Metabolomics offers a systemic approach to discover clinical biomarkers for early detection of chronic diseases while also revealing underlying mechanisms relevant to human… (more)

Subjects/Keywords: Capillary Electrophoresis; Mass Spectrometry; Biomarker Discovery; Tissue Metabolomics; Chronic disease prevention; Supplementation and Exercise; Sex adaptations in gestation

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APA (6th Edition):

Saoi, M. (2019). Multiplexed Separations for New Advances in Biomarker Discovery and Tissue Metabolomic Studies. (Doctoral Dissertation). McMaster University. Retrieved from http://hdl.handle.net/11375/24665

Chicago Manual of Style (16th Edition):

Saoi, Michelle. “Multiplexed Separations for New Advances in Biomarker Discovery and Tissue Metabolomic Studies.” 2019. Doctoral Dissertation, McMaster University. Accessed October 18, 2019. http://hdl.handle.net/11375/24665.

MLA Handbook (7th Edition):

Saoi, Michelle. “Multiplexed Separations for New Advances in Biomarker Discovery and Tissue Metabolomic Studies.” 2019. Web. 18 Oct 2019.

Vancouver:

Saoi M. Multiplexed Separations for New Advances in Biomarker Discovery and Tissue Metabolomic Studies. [Internet] [Doctoral dissertation]. McMaster University; 2019. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/11375/24665.

Council of Science Editors:

Saoi M. Multiplexed Separations for New Advances in Biomarker Discovery and Tissue Metabolomic Studies. [Doctoral Dissertation]. McMaster University; 2019. Available from: http://hdl.handle.net/11375/24665


Arizona State University

20. Buddi, Sai. Statistical Signal Processing of ESI-TOF-MS for Biomarker Discovery.

Degree: PhD, Electrical Engineering, 2012, Arizona State University

 Signal processing techniques have been used extensively in many engineering problems and in recent years its application has extended to non-traditional research fields such as… (more)

Subjects/Keywords: Electrical engineering; Biomarker discovery; Electrospray Ionization; Likelihood ratio test; Mass spectrometry; Maximum likelihood; Statistical signal processing

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APA (6th Edition):

Buddi, S. (2012). Statistical Signal Processing of ESI-TOF-MS for Biomarker Discovery. (Doctoral Dissertation). Arizona State University. Retrieved from http://repository.asu.edu/items/16002

Chicago Manual of Style (16th Edition):

Buddi, Sai. “Statistical Signal Processing of ESI-TOF-MS for Biomarker Discovery.” 2012. Doctoral Dissertation, Arizona State University. Accessed October 18, 2019. http://repository.asu.edu/items/16002.

MLA Handbook (7th Edition):

Buddi, Sai. “Statistical Signal Processing of ESI-TOF-MS for Biomarker Discovery.” 2012. Web. 18 Oct 2019.

Vancouver:

Buddi S. Statistical Signal Processing of ESI-TOF-MS for Biomarker Discovery. [Internet] [Doctoral dissertation]. Arizona State University; 2012. [cited 2019 Oct 18]. Available from: http://repository.asu.edu/items/16002.

Council of Science Editors:

Buddi S. Statistical Signal Processing of ESI-TOF-MS for Biomarker Discovery. [Doctoral Dissertation]. Arizona State University; 2012. Available from: http://repository.asu.edu/items/16002


Freie Universität Berlin

21. Schwedler, Christian. Optimierte N-Glykomanalyse von humanem IgG und Gesamtserum mittels Kapillarelektrophorese mit Laser-induzierter Fluoreszenzdetektion - Applikationen für das epitheliale Ovarialkarzinom und die rheumatoide Arthritis.

Degree: 2018, Freie Universität Berlin

 Protein glycosylation is an important co- and post-translational modification that is critical for many protein functions and biological processes. Glycan biosynthesis is a non-template driven… (more)

Subjects/Keywords: CE-LIF; N-glycosylation; Biomarker discovery; Epithelial ovarian cancer; Rheumatoid arthritis; 500 Naturwissenschaften und Mathematik::570 Biowissenschaften; Biologie::572 Biochemie

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APA (6th Edition):

Schwedler, C. (2018). Optimierte N-Glykomanalyse von humanem IgG und Gesamtserum mittels Kapillarelektrophorese mit Laser-induzierter Fluoreszenzdetektion - Applikationen für das epitheliale Ovarialkarzinom und die rheumatoide Arthritis. (Thesis). Freie Universität Berlin. Retrieved from http://dx.doi.org/10.17169/refubium-355

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):

Schwedler, Christian. “Optimierte N-Glykomanalyse von humanem IgG und Gesamtserum mittels Kapillarelektrophorese mit Laser-induzierter Fluoreszenzdetektion - Applikationen für das epitheliale Ovarialkarzinom und die rheumatoide Arthritis.” 2018. Thesis, Freie Universität Berlin. Accessed October 18, 2019. http://dx.doi.org/10.17169/refubium-355.

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

MLA Handbook (7th Edition):

Schwedler, Christian. “Optimierte N-Glykomanalyse von humanem IgG und Gesamtserum mittels Kapillarelektrophorese mit Laser-induzierter Fluoreszenzdetektion - Applikationen für das epitheliale Ovarialkarzinom und die rheumatoide Arthritis.” 2018. Web. 18 Oct 2019.

Vancouver:

Schwedler C. Optimierte N-Glykomanalyse von humanem IgG und Gesamtserum mittels Kapillarelektrophorese mit Laser-induzierter Fluoreszenzdetektion - Applikationen für das epitheliale Ovarialkarzinom und die rheumatoide Arthritis. [Internet] [Thesis]. Freie Universität Berlin; 2018. [cited 2019 Oct 18]. Available from: http://dx.doi.org/10.17169/refubium-355.

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

Council of Science Editors:

Schwedler C. Optimierte N-Glykomanalyse von humanem IgG und Gesamtserum mittels Kapillarelektrophorese mit Laser-induzierter Fluoreszenzdetektion - Applikationen für das epitheliale Ovarialkarzinom und die rheumatoide Arthritis. [Thesis]. Freie Universität Berlin; 2018. Available from: http://dx.doi.org/10.17169/refubium-355

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

22. Cirkel, GA. Strategies to overcome antineoplastic drug resistance.

Degree: 2016, University Utrecht

 This thesis focuses on various strategies to deal with cancer drug resistance and improve treatment efficacy. Technological advances have enabled researchers to gain more insight… (more)

Subjects/Keywords: personalized cancer treatment; drug resistance; clinical trials; biomarker discovery

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

APA (6th Edition):

Cirkel, G. (2016). Strategies to overcome antineoplastic drug resistance. (Doctoral Dissertation). University Utrecht. Retrieved from http://dspace.library.uu.nl/handle/1874/343114 ; URN:NBN:NL:UI:10-1874-343114 ; urn:isbn:978-94-6233-412-0 ; URN:NBN:NL:UI:10-1874-343114 ; http://dspace.library.uu.nl/handle/1874/343114

Chicago Manual of Style (16th Edition):

Cirkel, GA. “Strategies to overcome antineoplastic drug resistance.” 2016. Doctoral Dissertation, University Utrecht. Accessed October 18, 2019. http://dspace.library.uu.nl/handle/1874/343114 ; URN:NBN:NL:UI:10-1874-343114 ; urn:isbn:978-94-6233-412-0 ; URN:NBN:NL:UI:10-1874-343114 ; http://dspace.library.uu.nl/handle/1874/343114.

MLA Handbook (7th Edition):

Cirkel, GA. “Strategies to overcome antineoplastic drug resistance.” 2016. Web. 18 Oct 2019.

Vancouver:

Cirkel G. Strategies to overcome antineoplastic drug resistance. [Internet] [Doctoral dissertation]. University Utrecht; 2016. [cited 2019 Oct 18]. Available from: http://dspace.library.uu.nl/handle/1874/343114 ; URN:NBN:NL:UI:10-1874-343114 ; urn:isbn:978-94-6233-412-0 ; URN:NBN:NL:UI:10-1874-343114 ; http://dspace.library.uu.nl/handle/1874/343114.

Council of Science Editors:

Cirkel G. Strategies to overcome antineoplastic drug resistance. [Doctoral Dissertation]. University Utrecht; 2016. Available from: http://dspace.library.uu.nl/handle/1874/343114 ; URN:NBN:NL:UI:10-1874-343114 ; urn:isbn:978-94-6233-412-0 ; URN:NBN:NL:UI:10-1874-343114 ; http://dspace.library.uu.nl/handle/1874/343114


Leiden University

23. Lou, S. Biomarker discovery in high grade sarcomas by mass spectrometry imaging.

Degree: 2017, Leiden University

 This thesis demonstrates a detailed biomarker discovery Mass Spectrometry Imaging workflow for histologically heterogeneous high grade sarcomas. Panels of protein and metabolite signatures were discovered… (more)

Subjects/Keywords: Biomarker discovery; MSI; Protocol optimization; Intratumor heterogeneity; High grade sarcomas; Biomarker discovery; MSI; Protocol optimization; Intratumor heterogeneity; High grade sarcomas

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APA (6th Edition):

Lou, S. (2017). Biomarker discovery in high grade sarcomas by mass spectrometry imaging. (Doctoral Dissertation). Leiden University. Retrieved from http://hdl.handle.net/1887/48824

Chicago Manual of Style (16th Edition):

Lou, S. “Biomarker discovery in high grade sarcomas by mass spectrometry imaging.” 2017. Doctoral Dissertation, Leiden University. Accessed October 18, 2019. http://hdl.handle.net/1887/48824.

MLA Handbook (7th Edition):

Lou, S. “Biomarker discovery in high grade sarcomas by mass spectrometry imaging.” 2017. Web. 18 Oct 2019.

Vancouver:

Lou S. Biomarker discovery in high grade sarcomas by mass spectrometry imaging. [Internet] [Doctoral dissertation]. Leiden University; 2017. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/1887/48824.

Council of Science Editors:

Lou S. Biomarker discovery in high grade sarcomas by mass spectrometry imaging. [Doctoral Dissertation]. Leiden University; 2017. Available from: http://hdl.handle.net/1887/48824


University of Otago

24. Bergin, David Henry. L-arginine metabolism in animal models of Alzheimer’s disease .

Degree: University of Otago

 Alzheimer’s disease (AD) is a frequent neurodegenerative condition among the elderly, it is the most common form of dementia and currently has no cure. Amyloid… (more)

Subjects/Keywords: Agmatine; Alzheimer's disease; Neurodegeneration; Drug discovery; L-arginine; Biomarker; Behaviour; Learning and memory

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APA (6th Edition):

Bergin, D. H. (n.d.). L-arginine metabolism in animal models of Alzheimer’s disease . (Doctoral Dissertation). University of Otago. Retrieved from http://hdl.handle.net/10523/5916

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Chicago Manual of Style (16th Edition):

Bergin, David Henry. “L-arginine metabolism in animal models of Alzheimer’s disease .” Doctoral Dissertation, University of Otago. Accessed October 18, 2019. http://hdl.handle.net/10523/5916.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

MLA Handbook (7th Edition):

Bergin, David Henry. “L-arginine metabolism in animal models of Alzheimer’s disease .” Web. 18 Oct 2019.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Bergin DH. L-arginine metabolism in animal models of Alzheimer’s disease . [Internet] [Doctoral dissertation]. University of Otago; [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10523/5916.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Council of Science Editors:

Bergin DH. L-arginine metabolism in animal models of Alzheimer’s disease . [Doctoral Dissertation]. University of Otago; Available from: http://hdl.handle.net/10523/5916

Note: this citation may be lacking information needed for this citation format:
No year of publication.

25. Hölttä, Mikko. Quantitative neuroproteomics for biomarker discovery in Alzheimer's disease.

Degree: 2014, University of Gothenburg / Göteborgs Universitet

 Alzheimer’s disease (AD) is the most common form of dementia characterized by amyloid plaques and neurofibrillary tangles in the brain. Novel biomarkers for AD are… (more)

Subjects/Keywords: Alzheimer's disease; cerebrospinal fluid; biomarker discovery; proteomics; peptidomics

…14 4 BIOMARKER DISCOVERY… …16 4.1 Biomarker discovery in CSF using proteomics .................................. 16… …4.1.1 Biomarker discovery – endogenous peptides .............................. 18 5 METHODS… …CSF). Proteomics has been used in several biomarker discovery studies for AD and… …underlying processes of the disease than plaque and tangle pathology. Several biomarker discovery… 

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APA (6th Edition):

Hölttä, M. (2014). Quantitative neuroproteomics for biomarker discovery in Alzheimer's disease. (Thesis). University of Gothenburg / Göteborgs Universitet. Retrieved from http://hdl.handle.net/2077/34813

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):

Hölttä, Mikko. “Quantitative neuroproteomics for biomarker discovery in Alzheimer's disease.” 2014. Thesis, University of Gothenburg / Göteborgs Universitet. Accessed October 18, 2019. http://hdl.handle.net/2077/34813.

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

MLA Handbook (7th Edition):

Hölttä, Mikko. “Quantitative neuroproteomics for biomarker discovery in Alzheimer's disease.” 2014. Web. 18 Oct 2019.

Vancouver:

Hölttä M. Quantitative neuroproteomics for biomarker discovery in Alzheimer's disease. [Internet] [Thesis]. University of Gothenburg / Göteborgs Universitet; 2014. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/2077/34813.

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

Council of Science Editors:

Hölttä M. Quantitative neuroproteomics for biomarker discovery in Alzheimer's disease. [Thesis]. University of Gothenburg / Göteborgs Universitet; 2014. Available from: http://hdl.handle.net/2077/34813

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

26. Cai, Geping. Closing the In Vitro/In Vivo Gap in Tuberculosis Drug Discovery.

Degree: 2014, University of Illinois – Chicago

 This study establishes a new anti-M. tuberculosis (M. tb) drug lead screening scheme that integrates in vitro and in vivo methods for early detection of… (more)

Subjects/Keywords: tuberculosis; tuberculostearic acid; biomarker; hytramycin; drug discovery; antimicrobial

…98 7. Discovery of hytramycins, new anti-M. tb hexapeptides… …134 8. Discovery of xylamycins… …184 9.3.4 Anti-M. tb drug discovery from Actinomycete extracts… …8 Figure 3 The PrOBE approach to lead discovery and the contributions from the present… …vivo M. tb growth and inhibition monitoring in anti-M. tb drug discovery programs. The… 

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APA (6th Edition):

Cai, G. (2014). Closing the In Vitro/In Vivo Gap in Tuberculosis Drug Discovery. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/18922

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):

Cai, Geping. “Closing the In Vitro/In Vivo Gap in Tuberculosis Drug Discovery.” 2014. Thesis, University of Illinois – Chicago. Accessed October 18, 2019. http://hdl.handle.net/10027/18922.

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

MLA Handbook (7th Edition):

Cai, Geping. “Closing the In Vitro/In Vivo Gap in Tuberculosis Drug Discovery.” 2014. Web. 18 Oct 2019.

Vancouver:

Cai G. Closing the In Vitro/In Vivo Gap in Tuberculosis Drug Discovery. [Internet] [Thesis]. University of Illinois – Chicago; 2014. [cited 2019 Oct 18]. Available from: http://hdl.handle.net/10027/18922.

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

Council of Science Editors:

Cai G. Closing the In Vitro/In Vivo Gap in Tuberculosis Drug Discovery. [Thesis]. University of Illinois – Chicago; 2014. Available from: http://hdl.handle.net/10027/18922

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

27. Jiao, Yunlong. Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein : Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer.

Degree: Docteur es, Bio-informatique, 2017, Paris Sciences et Lettres

Le cancer du sein est le deuxième cancer le plus répandu dans le monde et la principale cause de décès due à un cancer chez… (more)

Subjects/Keywords: Cancer du sein; Pronostic moléculaire; Découverte de biomarqueurs; Réseau biologique; Apprentissage statistique; Analyse de données génomiques; Breast Cancer; Molecular Prognosis; Biomarker Discovery; Biological Network; Machine Learning; Genomic Data Analysis; 570.15

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APA (6th Edition):

Jiao, Y. (2017). Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein : Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer. (Doctoral Dissertation). Paris Sciences et Lettres. Retrieved from http://www.theses.fr/2017PSLEM027

Chicago Manual of Style (16th Edition):

Jiao, Yunlong. “Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein : Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer.” 2017. Doctoral Dissertation, Paris Sciences et Lettres. Accessed October 18, 2019. http://www.theses.fr/2017PSLEM027.

MLA Handbook (7th Edition):

Jiao, Yunlong. “Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein : Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer.” 2017. Web. 18 Oct 2019.

Vancouver:

Jiao Y. Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein : Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer. [Internet] [Doctoral dissertation]. Paris Sciences et Lettres; 2017. [cited 2019 Oct 18]. Available from: http://www.theses.fr/2017PSLEM027.

Council of Science Editors:

Jiao Y. Pronostic moléculaire basé sur l'ordre des gènes et découverte de biomarqueurs guidé par des réseaux pour le cancer du sein : Rank-based Molecular Prognosis and Network-guided Biomarker Discovery for Breast Cancer. [Doctoral Dissertation]. Paris Sciences et Lettres; 2017. Available from: http://www.theses.fr/2017PSLEM027


Delft University of Technology

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

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 October 18, 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. 18 Oct 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 Oct 18]. 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

29. Karbassi, Izabela Debkiewicz. The Application of Innovative High-Throughput Techniques to Serum Biomarker Discovery.

Degree: PhD, Biological Sciences, 2008, Old Dominion University

  Time-of-flight mass spectrometry continues to evolve as a promising technique for serum protein expression profiling and biomarker discovery. As seen in our initial SELDI-TOF… (more)

Subjects/Keywords: Biomarker discovery; Breast cancer; High-throughput; Mass spectrometry; Prostate cancer; Serum biomarker; Biomedical Engineering and Bioengineering; Oncology

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

APA (6th Edition):

Karbassi, I. D. (2008). The Application of Innovative High-Throughput Techniques to Serum Biomarker Discovery. (Doctoral Dissertation). Old Dominion University. Retrieved from 9780549596769 ; https://digitalcommons.odu.edu/biomedicalsciences_etds/113

Chicago Manual of Style (16th Edition):

Karbassi, Izabela Debkiewicz. “The Application of Innovative High-Throughput Techniques to Serum Biomarker Discovery.” 2008. Doctoral Dissertation, Old Dominion University. Accessed October 18, 2019. 9780549596769 ; https://digitalcommons.odu.edu/biomedicalsciences_etds/113.

MLA Handbook (7th Edition):

Karbassi, Izabela Debkiewicz. “The Application of Innovative High-Throughput Techniques to Serum Biomarker Discovery.” 2008. Web. 18 Oct 2019.

Vancouver:

Karbassi ID. The Application of Innovative High-Throughput Techniques to Serum Biomarker Discovery. [Internet] [Doctoral dissertation]. Old Dominion University; 2008. [cited 2019 Oct 18]. Available from: 9780549596769 ; https://digitalcommons.odu.edu/biomedicalsciences_etds/113.

Council of Science Editors:

Karbassi ID. The Application of Innovative High-Throughput Techniques to Serum Biomarker Discovery. [Doctoral Dissertation]. Old Dominion University; 2008. Available from: 9780549596769 ; https://digitalcommons.odu.edu/biomedicalsciences_etds/113

30. MONIREH SOROUSH NOGHABI. IDENTIFYING AND CHARACTERIZING TUMOR INITIATING AND CIRCULATING TUMOR CELLS IN LUNG CANCER.

Degree: 2015, National University of Singapore

Subjects/Keywords: Lung cancer; Monoclonal antibody; Tumor initiating cells; Single cell analysis; Circulating tumor cells; Biomarker discovery

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

APA (6th Edition):

NOGHABI, M. S. (2015). IDENTIFYING AND CHARACTERIZING TUMOR INITIATING AND CIRCULATING TUMOR CELLS IN LUNG CANCER. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/126204

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):

NOGHABI, MONIREH SOROUSH. “IDENTIFYING AND CHARACTERIZING TUMOR INITIATING AND CIRCULATING TUMOR CELLS IN LUNG CANCER.” 2015. Thesis, National University of Singapore. Accessed October 18, 2019. http://scholarbank.nus.edu.sg/handle/10635/126204.

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

MLA Handbook (7th Edition):

NOGHABI, MONIREH SOROUSH. “IDENTIFYING AND CHARACTERIZING TUMOR INITIATING AND CIRCULATING TUMOR CELLS IN LUNG CANCER.” 2015. Web. 18 Oct 2019.

Vancouver:

NOGHABI MS. IDENTIFYING AND CHARACTERIZING TUMOR INITIATING AND CIRCULATING TUMOR CELLS IN LUNG CANCER. [Internet] [Thesis]. National University of Singapore; 2015. [cited 2019 Oct 18]. Available from: http://scholarbank.nus.edu.sg/handle/10635/126204.

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

Council of Science Editors:

NOGHABI MS. IDENTIFYING AND CHARACTERIZING TUMOR INITIATING AND CIRCULATING TUMOR CELLS IN LUNG CANCER. [Thesis]. National University of Singapore; 2015. Available from: http://scholarbank.nus.edu.sg/handle/10635/126204

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

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