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You searched for subject:(DNA microarrays). Showing records 1 – 30 of 183 total matches.

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University of Alberta

1. Mahdavifard, Fariba. Making Gene Sets More Coherent.

Degree: MS, Department of Computing Science, 2009, University of Alberta

 One important goal in microarray data analysis is to learn a predictor using a patient’s microarray data to predict some important characteristics of that patient.… (more)

Subjects/Keywords: Correlation (Statistics); DNA microarrays; Genes

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APA (6th Edition):

Mahdavifard, F. (2009). Making Gene Sets More Coherent. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/x920fx74c

Chicago Manual of Style (16th Edition):

Mahdavifard, Fariba. “Making Gene Sets More Coherent.” 2009. Masters Thesis, University of Alberta. Accessed September 27, 2020. https://era.library.ualberta.ca/files/x920fx74c.

MLA Handbook (7th Edition):

Mahdavifard, Fariba. “Making Gene Sets More Coherent.” 2009. Web. 27 Sep 2020.

Vancouver:

Mahdavifard F. Making Gene Sets More Coherent. [Internet] [Masters thesis]. University of Alberta; 2009. [cited 2020 Sep 27]. Available from: https://era.library.ualberta.ca/files/x920fx74c.

Council of Science Editors:

Mahdavifard F. Making Gene Sets More Coherent. [Masters Thesis]. University of Alberta; 2009. Available from: https://era.library.ualberta.ca/files/x920fx74c


University of Alberta

2. Meng, Ya. An application of gene set analysis for a comparison of two groups.

Degree: MS, Department of Mathematical and Statistical Sciences, 2011, University of Alberta

Microarrays are biotechnological advancements measuring expressions of thousands of genes in a single assay. A two-group microarray study yields gene expression measurements for patients with… (more)

Subjects/Keywords: DNA microarrays; Gene expression

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APA (6th Edition):

Meng, Y. (2011). An application of gene set analysis for a comparison of two groups. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/6682x5372

Chicago Manual of Style (16th Edition):

Meng, Ya. “An application of gene set analysis for a comparison of two groups.” 2011. Masters Thesis, University of Alberta. Accessed September 27, 2020. https://era.library.ualberta.ca/files/6682x5372.

MLA Handbook (7th Edition):

Meng, Ya. “An application of gene set analysis for a comparison of two groups.” 2011. Web. 27 Sep 2020.

Vancouver:

Meng Y. An application of gene set analysis for a comparison of two groups. [Internet] [Masters thesis]. University of Alberta; 2011. [cited 2020 Sep 27]. Available from: https://era.library.ualberta.ca/files/6682x5372.

Council of Science Editors:

Meng Y. An application of gene set analysis for a comparison of two groups. [Masters Thesis]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/6682x5372

3. Wannipa Saelim. Classification of cancer using DNA microarray data with deep belief network technique .

Degree: คณะวิทยาศาสตร์ ภาควิชาวิทยาการคอมพิวเตอร์, 2014, Prince of Songkla University

Subjects/Keywords: DNA microarrays

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APA (6th Edition):

Saelim, W. (2014). Classification of cancer using DNA microarray data with deep belief network technique . (Thesis). Prince of Songkla University. Retrieved from http://kb.psu.ac.th/psukb/handle/2010/10075

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):

Saelim, Wannipa. “Classification of cancer using DNA microarray data with deep belief network technique .” 2014. Thesis, Prince of Songkla University. Accessed September 27, 2020. http://kb.psu.ac.th/psukb/handle/2010/10075.

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

MLA Handbook (7th Edition):

Saelim, Wannipa. “Classification of cancer using DNA microarray data with deep belief network technique .” 2014. Web. 27 Sep 2020.

Vancouver:

Saelim W. Classification of cancer using DNA microarray data with deep belief network technique . [Internet] [Thesis]. Prince of Songkla University; 2014. [cited 2020 Sep 27]. Available from: http://kb.psu.ac.th/psukb/handle/2010/10075.

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

Council of Science Editors:

Saelim W. Classification of cancer using DNA microarray data with deep belief network technique . [Thesis]. Prince of Songkla University; 2014. Available from: http://kb.psu.ac.th/psukb/handle/2010/10075

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


Rutgers University

4. Yu, Ching-Ray. Data analysis for microarray experiment and DNA barcode of life.

Degree: PhD, Statistics and Biostatistics, 2008, Rutgers University

DNA microarray experiment, a well-established experimental technique, aims understanding the function of genes in some biological functions and cellular processes. One of the most common… (more)

Subjects/Keywords: DNA microarrays

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APA (6th Edition):

Yu, C. (2008). Data analysis for microarray experiment and DNA barcode of life. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17241

Chicago Manual of Style (16th Edition):

Yu, Ching-Ray. “Data analysis for microarray experiment and DNA barcode of life.” 2008. Doctoral Dissertation, Rutgers University. Accessed September 27, 2020. http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17241.

MLA Handbook (7th Edition):

Yu, Ching-Ray. “Data analysis for microarray experiment and DNA barcode of life.” 2008. Web. 27 Sep 2020.

Vancouver:

Yu C. Data analysis for microarray experiment and DNA barcode of life. [Internet] [Doctoral dissertation]. Rutgers University; 2008. [cited 2020 Sep 27]. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17241.

Council of Science Editors:

Yu C. Data analysis for microarray experiment and DNA barcode of life. [Doctoral Dissertation]. Rutgers University; 2008. Available from: http://hdl.rutgers.edu/1782.2/rucore10001600001.ETD.17241


Montana State University

5. Raghavan, Vijay Anand. Design and application of the Kentucky microarray analysis suite.

Degree: MS, College of Engineering, 2006, Montana State University

 In recent years, microarrays have become the most widely used standard in the study of gene expression. The biggest problem in microarray data analysis is… (more)

Subjects/Keywords: DNA microarrays.

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APA (6th Edition):

Raghavan, V. A. (2006). Design and application of the Kentucky microarray analysis suite. (Masters Thesis). Montana State University. Retrieved from https://scholarworks.montana.edu/xmlui/handle/1/2094

Chicago Manual of Style (16th Edition):

Raghavan, Vijay Anand. “Design and application of the Kentucky microarray analysis suite.” 2006. Masters Thesis, Montana State University. Accessed September 27, 2020. https://scholarworks.montana.edu/xmlui/handle/1/2094.

MLA Handbook (7th Edition):

Raghavan, Vijay Anand. “Design and application of the Kentucky microarray analysis suite.” 2006. Web. 27 Sep 2020.

Vancouver:

Raghavan VA. Design and application of the Kentucky microarray analysis suite. [Internet] [Masters thesis]. Montana State University; 2006. [cited 2020 Sep 27]. Available from: https://scholarworks.montana.edu/xmlui/handle/1/2094.

Council of Science Editors:

Raghavan VA. Design and application of the Kentucky microarray analysis suite. [Masters Thesis]. Montana State University; 2006. Available from: https://scholarworks.montana.edu/xmlui/handle/1/2094


Ryerson University

6. Manafi, Shirin. A two-stage normalization method for robust differential expression analysis in microarray experiments.

Degree: 2014, Ryerson University

 In this research, we introduce an approach to improve the reliability of genetic data analysis. Consistency of the results obtained from microarray data analysis strongly… (more)

Subjects/Keywords: DNA microarrays  – Data processing.; Genomics  – Statistical methods.

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APA (6th Edition):

Manafi, S. (2014). A two-stage normalization method for robust differential expression analysis in microarray experiments. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A3367

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):

Manafi, Shirin. “A two-stage normalization method for robust differential expression analysis in microarray experiments.” 2014. Thesis, Ryerson University. Accessed September 27, 2020. https://digital.library.ryerson.ca/islandora/object/RULA%3A3367.

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

MLA Handbook (7th Edition):

Manafi, Shirin. “A two-stage normalization method for robust differential expression analysis in microarray experiments.” 2014. Web. 27 Sep 2020.

Vancouver:

Manafi S. A two-stage normalization method for robust differential expression analysis in microarray experiments. [Internet] [Thesis]. Ryerson University; 2014. [cited 2020 Sep 27]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3367.

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

Council of Science Editors:

Manafi S. A two-stage normalization method for robust differential expression analysis in microarray experiments. [Thesis]. Ryerson University; 2014. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A3367

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

7. Clark, Peter M. Computational analysis of the colonic transciptome & in vitro biomarker analysis using a novel microfluidic quantum dot linked immunoassay.

Degree: 2012, Drexel University

DNA microarray technology facilitates the high throughput analysis of transcriptional disease regulation by measuring the relative expression levels of transcripts present within a tissue. While… (more)

Subjects/Keywords: Biomedical engineering; DNA microarrays; Inflammatory bowel diseases

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APA (6th Edition):

Clark, P. M. (2012). Computational analysis of the colonic transciptome & in vitro biomarker analysis using a novel microfluidic quantum dot linked immunoassay. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/3778

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):

Clark, Peter M. “Computational analysis of the colonic transciptome & in vitro biomarker analysis using a novel microfluidic quantum dot linked immunoassay.” 2012. Thesis, Drexel University. Accessed September 27, 2020. http://hdl.handle.net/1860/3778.

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

MLA Handbook (7th Edition):

Clark, Peter M. “Computational analysis of the colonic transciptome & in vitro biomarker analysis using a novel microfluidic quantum dot linked immunoassay.” 2012. Web. 27 Sep 2020.

Vancouver:

Clark PM. Computational analysis of the colonic transciptome & in vitro biomarker analysis using a novel microfluidic quantum dot linked immunoassay. [Internet] [Thesis]. Drexel University; 2012. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/1860/3778.

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

Council of Science Editors:

Clark PM. Computational analysis of the colonic transciptome & in vitro biomarker analysis using a novel microfluidic quantum dot linked immunoassay. [Thesis]. Drexel University; 2012. Available from: http://hdl.handle.net/1860/3778

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

8. Roalofs, Scott F. Gene activity analysis of Saccharomyces cerevisiae metallo-aminopeptidase gene deletion strains using DNA microarrays and verification with quantitative RT-PCR.

Degree: MS(M.S.), Applied Natural Science, 2018, Colorado State University – Pueblo

 Metallo-Aminopeptidase gene family 1 (M1AP) encode enzymes that cleave 1-3 amino acids from the N-terminus of a peptide. Previous studies involving M1AP inhibitors indicate that… (more)

Subjects/Keywords: Saccharomyces cerevisiae; Aminopeptidases; DNA microarrays; Messenger RNA

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APA (6th Edition):

Roalofs, S. F. (2018). Gene activity analysis of Saccharomyces cerevisiae metallo-aminopeptidase gene deletion strains using DNA microarrays and verification with quantitative RT-PCR. (Masters Thesis). Colorado State University – Pueblo. Retrieved from http://hdl.handle.net/10217/187682

Chicago Manual of Style (16th Edition):

Roalofs, Scott F. “Gene activity analysis of Saccharomyces cerevisiae metallo-aminopeptidase gene deletion strains using DNA microarrays and verification with quantitative RT-PCR.” 2018. Masters Thesis, Colorado State University – Pueblo. Accessed September 27, 2020. http://hdl.handle.net/10217/187682.

MLA Handbook (7th Edition):

Roalofs, Scott F. “Gene activity analysis of Saccharomyces cerevisiae metallo-aminopeptidase gene deletion strains using DNA microarrays and verification with quantitative RT-PCR.” 2018. Web. 27 Sep 2020.

Vancouver:

Roalofs SF. Gene activity analysis of Saccharomyces cerevisiae metallo-aminopeptidase gene deletion strains using DNA microarrays and verification with quantitative RT-PCR. [Internet] [Masters thesis]. Colorado State University – Pueblo; 2018. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10217/187682.

Council of Science Editors:

Roalofs SF. Gene activity analysis of Saccharomyces cerevisiae metallo-aminopeptidase gene deletion strains using DNA microarrays and verification with quantitative RT-PCR. [Masters Thesis]. Colorado State University – Pueblo; 2018. Available from: http://hdl.handle.net/10217/187682


Florida Atlantic University

9. Chatterjee, Sharmistha P. Bioinformatic analysis of viral genomic sequences and concepts of genome-specific national vaccine design.

Degree: PhD, 2013, Florida Atlantic University

Summary: This research is concerned with analyzing a set of viral genomes to elucidate the underlying characteristics and determine the information-theoretic aspects of the genomic… (more)

Subjects/Keywords: Genetic engineering; Bioinformatics; Genomics; DNA microarrays; Proteomics

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APA (6th Edition):

Chatterjee, S. P. (2013). Bioinformatic analysis of viral genomic sequences and concepts of genome-specific national vaccine design. (Doctoral Dissertation). Florida Atlantic University. Retrieved from http://purl.flvc.org/FAU/3360772

Chicago Manual of Style (16th Edition):

Chatterjee, Sharmistha P. “Bioinformatic analysis of viral genomic sequences and concepts of genome-specific national vaccine design.” 2013. Doctoral Dissertation, Florida Atlantic University. Accessed September 27, 2020. http://purl.flvc.org/FAU/3360772.

MLA Handbook (7th Edition):

Chatterjee, Sharmistha P. “Bioinformatic analysis of viral genomic sequences and concepts of genome-specific national vaccine design.” 2013. Web. 27 Sep 2020.

Vancouver:

Chatterjee SP. Bioinformatic analysis of viral genomic sequences and concepts of genome-specific national vaccine design. [Internet] [Doctoral dissertation]. Florida Atlantic University; 2013. [cited 2020 Sep 27]. Available from: http://purl.flvc.org/FAU/3360772.

Council of Science Editors:

Chatterjee SP. Bioinformatic analysis of viral genomic sequences and concepts of genome-specific national vaccine design. [Doctoral Dissertation]. Florida Atlantic University; 2013. Available from: http://purl.flvc.org/FAU/3360772


Portland State University

10. Dickman, Rebekah. Thermodynamic Effects of 5' and 3' Single Strand Dangling Ends on Short Duplex DNA.

Degree: MS(M.S.) in Chemistry, Chemistry, 2010, Portland State University

  Differential scanning calorimetry (DSC) melting analysis was performed on 27 short double stranded DNA duplexes containing 15 to 25 base pairs and short single… (more)

Subjects/Keywords: DNA; DNA microarrays; Thermodynamics

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APA (6th Edition):

Dickman, R. (2010). Thermodynamic Effects of 5' and 3' Single Strand Dangling Ends on Short Duplex DNA. (Masters Thesis). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/94

Chicago Manual of Style (16th Edition):

Dickman, Rebekah. “Thermodynamic Effects of 5' and 3' Single Strand Dangling Ends on Short Duplex DNA.” 2010. Masters Thesis, Portland State University. Accessed September 27, 2020. https://pdxscholar.library.pdx.edu/open_access_etds/94.

MLA Handbook (7th Edition):

Dickman, Rebekah. “Thermodynamic Effects of 5' and 3' Single Strand Dangling Ends on Short Duplex DNA.” 2010. Web. 27 Sep 2020.

Vancouver:

Dickman R. Thermodynamic Effects of 5' and 3' Single Strand Dangling Ends on Short Duplex DNA. [Internet] [Masters thesis]. Portland State University; 2010. [cited 2020 Sep 27]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/94.

Council of Science Editors:

Dickman R. Thermodynamic Effects of 5' and 3' Single Strand Dangling Ends on Short Duplex DNA. [Masters Thesis]. Portland State University; 2010. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/94


Latrobe University

11. Young, Sylvia. Kernel methods in analysis of genetic markers and DNA microarrays.

Degree: PhD, 2012, Latrobe University

Thesis (Ph.D.) - La Trobe University, 2012

Submission note: "A thesis submitted in total fulfilment of the requirements for the degree of Doctor of Philosophy… (more)

Subjects/Keywords: Genetic markers.; DNA  – Analysis  – Mathematical models.; DNA microarrays.

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APA (6th Edition):

Young, S. (2012). Kernel methods in analysis of genetic markers and DNA microarrays. (Doctoral Dissertation). Latrobe University. Retrieved from http://hdl.handle.net/1959.9/517163

Chicago Manual of Style (16th Edition):

Young, Sylvia. “Kernel methods in analysis of genetic markers and DNA microarrays.” 2012. Doctoral Dissertation, Latrobe University. Accessed September 27, 2020. http://hdl.handle.net/1959.9/517163.

MLA Handbook (7th Edition):

Young, Sylvia. “Kernel methods in analysis of genetic markers and DNA microarrays.” 2012. Web. 27 Sep 2020.

Vancouver:

Young S. Kernel methods in analysis of genetic markers and DNA microarrays. [Internet] [Doctoral dissertation]. Latrobe University; 2012. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/1959.9/517163.

Council of Science Editors:

Young S. Kernel methods in analysis of genetic markers and DNA microarrays. [Doctoral Dissertation]. Latrobe University; 2012. Available from: http://hdl.handle.net/1959.9/517163


Rhodes University

12. Hlatshwayo, Nkosikhona Rejoyce. Comparison of protein binding microarray derived and ChIP-seq derived transcription factor binding DNA motifs.

Degree: Faculty of Science, Biochemistry and Microbiology, 2015, Rhodes University

 Transcription factors (TFs) are biologically important proteins that interact with transcription machinery and bind DNA regulatory sequences to regulate gene expression by modulating the synthesis… (more)

Subjects/Keywords: Protein binding; DNA; DNA microarrays; Transcription factors; DNA-protein interactions; Gene regulatory networks

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APA (6th Edition):

Hlatshwayo, N. R. (2015). Comparison of protein binding microarray derived and ChIP-seq derived transcription factor binding DNA motifs. (Thesis). Rhodes University. Retrieved from http://hdl.handle.net/10962/d1017907

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):

Hlatshwayo, Nkosikhona Rejoyce. “Comparison of protein binding microarray derived and ChIP-seq derived transcription factor binding DNA motifs.” 2015. Thesis, Rhodes University. Accessed September 27, 2020. http://hdl.handle.net/10962/d1017907.

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

MLA Handbook (7th Edition):

Hlatshwayo, Nkosikhona Rejoyce. “Comparison of protein binding microarray derived and ChIP-seq derived transcription factor binding DNA motifs.” 2015. Web. 27 Sep 2020.

Vancouver:

Hlatshwayo NR. Comparison of protein binding microarray derived and ChIP-seq derived transcription factor binding DNA motifs. [Internet] [Thesis]. Rhodes University; 2015. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10962/d1017907.

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

Council of Science Editors:

Hlatshwayo NR. Comparison of protein binding microarray derived and ChIP-seq derived transcription factor binding DNA motifs. [Thesis]. Rhodes University; 2015. Available from: http://hdl.handle.net/10962/d1017907

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


University of Hong Kong

13. 梁玉儀. An integrated framework for feature selection and classification in microarray data analysis.

Degree: 2009, University of Hong Kong

Subjects/Keywords: DNA microarrays - Statistical methods.

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APA (6th Edition):

梁玉儀.. (2009). An integrated framework for feature selection and classification in microarray data analysis. (Thesis). University of Hong Kong. Retrieved from http://hdl.handle.net/10722/56804

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

Chicago Manual of Style (16th Edition):

梁玉儀.. “An integrated framework for feature selection and classification in microarray data analysis.” 2009. Thesis, University of Hong Kong. Accessed September 27, 2020. http://hdl.handle.net/10722/56804.

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

MLA Handbook (7th Edition):

梁玉儀.. “An integrated framework for feature selection and classification in microarray data analysis.” 2009. Web. 27 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

梁玉儀.. An integrated framework for feature selection and classification in microarray data analysis. [Internet] [Thesis]. University of Hong Kong; 2009. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10722/56804.

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

Council of Science Editors:

梁玉儀.. An integrated framework for feature selection and classification in microarray data analysis. [Thesis]. University of Hong Kong; 2009. Available from: http://hdl.handle.net/10722/56804

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

14. Ribeiro, Adèle Helena. Análise de expressões gênicas com erros de medida e aplicação em dados reais.

Degree: Mestrado, Ciência da Computação, 2014, University of São Paulo

Toda medida, desde que feita por um instrumento real, tem uma imprecisão associada. Neste trabalho, abordamos a questão das imprecisões em experimentos de microarranjos de… (more)

Subjects/Keywords: DNA microarrays; expressão gênica; gene expression; imprecisões; microarranjos; uncertainty

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APA (6th Edition):

Ribeiro, A. H. (2014). Análise de expressões gênicas com erros de medida e aplicação em dados reais. (Masters Thesis). University of São Paulo. Retrieved from http://www.teses.usp.br/teses/disponiveis/45/45134/tde-04082014-163616/ ;

Chicago Manual of Style (16th Edition):

Ribeiro, Adèle Helena. “Análise de expressões gênicas com erros de medida e aplicação em dados reais.” 2014. Masters Thesis, University of São Paulo. Accessed September 27, 2020. http://www.teses.usp.br/teses/disponiveis/45/45134/tde-04082014-163616/ ;.

MLA Handbook (7th Edition):

Ribeiro, Adèle Helena. “Análise de expressões gênicas com erros de medida e aplicação em dados reais.” 2014. Web. 27 Sep 2020.

Vancouver:

Ribeiro AH. Análise de expressões gênicas com erros de medida e aplicação em dados reais. [Internet] [Masters thesis]. University of São Paulo; 2014. [cited 2020 Sep 27]. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-04082014-163616/ ;.

Council of Science Editors:

Ribeiro AH. Análise de expressões gênicas com erros de medida e aplicação em dados reais. [Masters Thesis]. University of São Paulo; 2014. Available from: http://www.teses.usp.br/teses/disponiveis/45/45134/tde-04082014-163616/ ;


University of Oulu

15. Rysä, J. (Jaana). Gene expression profiling in experimental models of cardiac load.

Degree: 2008, University of Oulu

 Abstract Cardiac hypertrophy provides an adaptive mechanism to maintain cardiac output in response to increased workload, and although initially beneficial, hypertrophy eventually leads to heart… (more)

Subjects/Keywords: DNA microarrays; diastolic heart failure; hypertrophy; mitogen-activated protein kinases; stretch

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APA (6th Edition):

Rysä, J. (. (2008). Gene expression profiling in experimental models of cardiac load. (Doctoral Dissertation). University of Oulu. Retrieved from http://urn.fi/urn:isbn:9789514287664

Chicago Manual of Style (16th Edition):

Rysä, J (Jaana). “Gene expression profiling in experimental models of cardiac load.” 2008. Doctoral Dissertation, University of Oulu. Accessed September 27, 2020. http://urn.fi/urn:isbn:9789514287664.

MLA Handbook (7th Edition):

Rysä, J (Jaana). “Gene expression profiling in experimental models of cardiac load.” 2008. Web. 27 Sep 2020.

Vancouver:

Rysä J(. Gene expression profiling in experimental models of cardiac load. [Internet] [Doctoral dissertation]. University of Oulu; 2008. [cited 2020 Sep 27]. Available from: http://urn.fi/urn:isbn:9789514287664.

Council of Science Editors:

Rysä J(. Gene expression profiling in experimental models of cardiac load. [Doctoral Dissertation]. University of Oulu; 2008. Available from: http://urn.fi/urn:isbn:9789514287664


Drexel University

16. Boorman, David W. Microarray analysis of human hepatic aging.

Degree: 2008, Drexel University

 Two sets of liver tissue samples of human subjects were investigated by gene expression microarray analysis. One set had normal and disease samples with their… (more)

Subjects/Keywords: Biomedical engineering; DNA microarrays; Liver

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

APA (6th Edition):

Boorman, D. W. (2008). Microarray analysis of human hepatic aging. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/2881

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):

Boorman, David W. “Microarray analysis of human hepatic aging.” 2008. Thesis, Drexel University. Accessed September 27, 2020. http://hdl.handle.net/1860/2881.

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

MLA Handbook (7th Edition):

Boorman, David W. “Microarray analysis of human hepatic aging.” 2008. Web. 27 Sep 2020.

Vancouver:

Boorman DW. Microarray analysis of human hepatic aging. [Internet] [Thesis]. Drexel University; 2008. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/1860/2881.

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

Council of Science Editors:

Boorman DW. Microarray analysis of human hepatic aging. [Thesis]. Drexel University; 2008. Available from: http://hdl.handle.net/1860/2881

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


Penn State University

17. Goyak, Katy M. O. Expression profiling of interindividual and interspecies variability in hepatic models. .

Degree: 2009, Penn State University

 Although in vivo rodent models are a necessary part of the risk assessment process, incorporation of human models is necessary in order to evaluate whether… (more)

Subjects/Keywords: DNA microarrays; human hepatocytes

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

APA (6th Edition):

Goyak, K. M. O. (2009). Expression profiling of interindividual and interspecies variability in hepatic models. . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/9046

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):

Goyak, Katy M O. “Expression profiling of interindividual and interspecies variability in hepatic models. .” 2009. Thesis, Penn State University. Accessed September 27, 2020. https://submit-etda.libraries.psu.edu/catalog/9046.

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

MLA Handbook (7th Edition):

Goyak, Katy M O. “Expression profiling of interindividual and interspecies variability in hepatic models. .” 2009. Web. 27 Sep 2020.

Vancouver:

Goyak KMO. Expression profiling of interindividual and interspecies variability in hepatic models. . [Internet] [Thesis]. Penn State University; 2009. [cited 2020 Sep 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/9046.

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

Council of Science Editors:

Goyak KMO. Expression profiling of interindividual and interspecies variability in hepatic models. . [Thesis]. Penn State University; 2009. Available from: https://submit-etda.libraries.psu.edu/catalog/9046

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


North Carolina State University

18. Moses, Selina. Characterization and Functionalization of Substrates and Nanoparticles for Detection of Surface Binding Events of Biomolecules.

Degree: PhD, Chemistry, 2006, North Carolina State University

 This dissertation mainly focuses on detection of biomolecules on metal and metal-oxide surfaces by photoelectrochemistry. Characterization of DNA monolayers on the surface of gold was… (more)

Subjects/Keywords: microarrays; DNA hybridization; nanoparticles; photoelectrochemistry

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

APA (6th Edition):

Moses, S. (2006). Characterization and Functionalization of Substrates and Nanoparticles for Detection of Surface Binding Events of Biomolecules. (Doctoral Dissertation). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/5176

Chicago Manual of Style (16th Edition):

Moses, Selina. “Characterization and Functionalization of Substrates and Nanoparticles for Detection of Surface Binding Events of Biomolecules.” 2006. Doctoral Dissertation, North Carolina State University. Accessed September 27, 2020. http://www.lib.ncsu.edu/resolver/1840.16/5176.

MLA Handbook (7th Edition):

Moses, Selina. “Characterization and Functionalization of Substrates and Nanoparticles for Detection of Surface Binding Events of Biomolecules.” 2006. Web. 27 Sep 2020.

Vancouver:

Moses S. Characterization and Functionalization of Substrates and Nanoparticles for Detection of Surface Binding Events of Biomolecules. [Internet] [Doctoral dissertation]. North Carolina State University; 2006. [cited 2020 Sep 27]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5176.

Council of Science Editors:

Moses S. Characterization and Functionalization of Substrates and Nanoparticles for Detection of Surface Binding Events of Biomolecules. [Doctoral Dissertation]. North Carolina State University; 2006. Available from: http://www.lib.ncsu.edu/resolver/1840.16/5176


Université Montpellier II

19. Salle, Paola. Les motifs séquentiels pour les données issues des puces ADN : Mining sequential patterns for DNA microarrays.

Degree: Docteur es, Informatique, 2010, Université Montpellier II

L'émergence des biotechnologies, telles que les puces ADN, a permis l'acquisition d'énormes quantités de données d'une cellule à un instant donné et sous certaines conditions.… (more)

Subjects/Keywords: Motifs séquentiels; Data mining; Biomedical; Sequential patterns; DNA microarrays; Biomedical

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

APA (6th Edition):

Salle, P. (2010). Les motifs séquentiels pour les données issues des puces ADN : Mining sequential patterns for DNA microarrays. (Doctoral Dissertation). Université Montpellier II. Retrieved from http://www.theses.fr/2010MON20239

Chicago Manual of Style (16th Edition):

Salle, Paola. “Les motifs séquentiels pour les données issues des puces ADN : Mining sequential patterns for DNA microarrays.” 2010. Doctoral Dissertation, Université Montpellier II. Accessed September 27, 2020. http://www.theses.fr/2010MON20239.

MLA Handbook (7th Edition):

Salle, Paola. “Les motifs séquentiels pour les données issues des puces ADN : Mining sequential patterns for DNA microarrays.” 2010. Web. 27 Sep 2020.

Vancouver:

Salle P. Les motifs séquentiels pour les données issues des puces ADN : Mining sequential patterns for DNA microarrays. [Internet] [Doctoral dissertation]. Université Montpellier II; 2010. [cited 2020 Sep 27]. Available from: http://www.theses.fr/2010MON20239.

Council of Science Editors:

Salle P. Les motifs séquentiels pour les données issues des puces ADN : Mining sequential patterns for DNA microarrays. [Doctoral Dissertation]. Université Montpellier II; 2010. Available from: http://www.theses.fr/2010MON20239


Rhodes University

20. Matereke, Lavious Tapiwa. Analysis of predictive power of binding affinity of PBM-derived sequences.

Degree: Faculty of Science, Biochemistry and Microbiology, 2015, Rhodes University

 A transcription factor (TF) is a protein that binds to specific DNA sequences as part of the initiation stage of transcription. Various methods of finding… (more)

Subjects/Keywords: Transcription factors; Protein binding; DNA-binding proteins; Chromatin; Protein microarrays

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

APA (6th Edition):

Matereke, L. T. (2015). Analysis of predictive power of binding affinity of PBM-derived sequences. (Thesis). Rhodes University. Retrieved from http://hdl.handle.net/10962/d1018666

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):

Matereke, Lavious Tapiwa. “Analysis of predictive power of binding affinity of PBM-derived sequences.” 2015. Thesis, Rhodes University. Accessed September 27, 2020. http://hdl.handle.net/10962/d1018666.

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

MLA Handbook (7th Edition):

Matereke, Lavious Tapiwa. “Analysis of predictive power of binding affinity of PBM-derived sequences.” 2015. Web. 27 Sep 2020.

Vancouver:

Matereke LT. Analysis of predictive power of binding affinity of PBM-derived sequences. [Internet] [Thesis]. Rhodes University; 2015. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/10962/d1018666.

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

Council of Science Editors:

Matereke LT. Analysis of predictive power of binding affinity of PBM-derived sequences. [Thesis]. Rhodes University; 2015. Available from: http://hdl.handle.net/10962/d1018666

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


University of Wisconsin – Oshkosh

21. Rubin, Matthew J. Quantitative trait loci and global expression patterns offer insight into phenotypic plasticity.

Degree: MS, Biology, 2011, University of Wisconsin – Oshkosh

A Thesis Submitted In Partial Fulfillment of the Requirements For the Degree of Master of Science - Biology

Phenotypic plasticity, i.e. changes in phenotype with… (more)

Subjects/Keywords: DNA microarrays; Climatic changes; Gene mapping; Arabidopsis thaliana; Phenotypic plasticity

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

APA (6th Edition):

Rubin, M. J. (2011). Quantitative trait loci and global expression patterns offer insight into phenotypic plasticity. (Masters Thesis). University of Wisconsin – Oshkosh. Retrieved from http://digital.library.wisc.edu/1793/56882

Chicago Manual of Style (16th Edition):

Rubin, Matthew J. “Quantitative trait loci and global expression patterns offer insight into phenotypic plasticity.” 2011. Masters Thesis, University of Wisconsin – Oshkosh. Accessed September 27, 2020. http://digital.library.wisc.edu/1793/56882.

MLA Handbook (7th Edition):

Rubin, Matthew J. “Quantitative trait loci and global expression patterns offer insight into phenotypic plasticity.” 2011. Web. 27 Sep 2020.

Vancouver:

Rubin MJ. Quantitative trait loci and global expression patterns offer insight into phenotypic plasticity. [Internet] [Masters thesis]. University of Wisconsin – Oshkosh; 2011. [cited 2020 Sep 27]. Available from: http://digital.library.wisc.edu/1793/56882.

Council of Science Editors:

Rubin MJ. Quantitative trait loci and global expression patterns offer insight into phenotypic plasticity. [Masters Thesis]. University of Wisconsin – Oshkosh; 2011. Available from: http://digital.library.wisc.edu/1793/56882


Central Connecticut State University

22. Islam, Rafiqul, 1973-. Knowledge Discovery in Microarray Data.

Degree: Department of Mathematical Sciences, 2004, Central Connecticut State University

 During the last decade, new technologies created a deluge of potential drug targets. Sifting through thousands of potential drug targets is a major industry bottleneck.… (more)

Subjects/Keywords: DNA microarrays; Data mining

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APA (6th Edition):

Islam, Rafiqul, 1. (2004). Knowledge Discovery in Microarray Data. (Thesis). Central Connecticut State University. Retrieved from http://content.library.ccsu.edu/u?/ccsutheses,1002

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):

Islam, Rafiqul, 1973-. “Knowledge Discovery in Microarray Data.” 2004. Thesis, Central Connecticut State University. Accessed September 27, 2020. http://content.library.ccsu.edu/u?/ccsutheses,1002.

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

MLA Handbook (7th Edition):

Islam, Rafiqul, 1973-. “Knowledge Discovery in Microarray Data.” 2004. Web. 27 Sep 2020.

Vancouver:

Islam, Rafiqul 1. Knowledge Discovery in Microarray Data. [Internet] [Thesis]. Central Connecticut State University; 2004. [cited 2020 Sep 27]. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1002.

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

Council of Science Editors:

Islam, Rafiqul 1. Knowledge Discovery in Microarray Data. [Thesis]. Central Connecticut State University; 2004. Available from: http://content.library.ccsu.edu/u?/ccsutheses,1002

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


University of New South Wales

23. Kirk, Michael. Bioinformatic analyses of microarray experiments on genetic control of gene expression level.

Degree: Biotechnology & Biomolecular Sciences, 2006, University of New South Wales

 The advent of microarray technology, allowing measurement of gene expressionlevels for thousands of genes in parallel, has made possible experimentsdesigned to investigate the genetic control… (more)

Subjects/Keywords: DNA microarrays gene expression; bioinformatics

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

APA (6th Edition):

Kirk, M. (2006). Bioinformatic analyses of microarray experiments on genetic control of gene expression level. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/25986 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:1093/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Kirk, Michael. “Bioinformatic analyses of microarray experiments on genetic control of gene expression level.” 2006. Doctoral Dissertation, University of New South Wales. Accessed September 27, 2020. http://handle.unsw.edu.au/1959.4/25986 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:1093/SOURCE01?view=true.

MLA Handbook (7th Edition):

Kirk, Michael. “Bioinformatic analyses of microarray experiments on genetic control of gene expression level.” 2006. Web. 27 Sep 2020.

Vancouver:

Kirk M. Bioinformatic analyses of microarray experiments on genetic control of gene expression level. [Internet] [Doctoral dissertation]. University of New South Wales; 2006. [cited 2020 Sep 27]. Available from: http://handle.unsw.edu.au/1959.4/25986 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:1093/SOURCE01?view=true.

Council of Science Editors:

Kirk M. Bioinformatic analyses of microarray experiments on genetic control of gene expression level. [Doctoral Dissertation]. University of New South Wales; 2006. Available from: http://handle.unsw.edu.au/1959.4/25986 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:1093/SOURCE01?view=true


University of Sydney

24. Chen, Ilene Y. Microarray bioinformatics and its applications to clinical research .

Degree: 2009, University of Sydney

Subjects/Keywords: DNA microarrays; Gene expression

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

APA (6th Edition):

Chen, I. Y. (2009). Microarray bioinformatics and its applications to clinical research . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/9327

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):

Chen, Ilene Y. “Microarray bioinformatics and its applications to clinical research .” 2009. Thesis, University of Sydney. Accessed September 27, 2020. http://hdl.handle.net/2123/9327.

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

MLA Handbook (7th Edition):

Chen, Ilene Y. “Microarray bioinformatics and its applications to clinical research .” 2009. Web. 27 Sep 2020.

Vancouver:

Chen IY. Microarray bioinformatics and its applications to clinical research . [Internet] [Thesis]. University of Sydney; 2009. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/2123/9327.

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

Council of Science Editors:

Chen IY. Microarray bioinformatics and its applications to clinical research . [Thesis]. University of Sydney; 2009. Available from: http://hdl.handle.net/2123/9327

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


Rutgers University

25. Yi, Lan, 1984-. Biomarker discovery for microarray data by enriched methods, stochastic approximation and mixed effect models.

Degree: Statistics and Biostatistics, 2014, Rutgers University

Subjects/Keywords: DNA microarrays; Biochemical markers

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APA (6th Edition):

Yi, Lan, 1. (2014). Biomarker discovery for microarray data by enriched methods, stochastic approximation and mixed effect models. (Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/44327/

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):

Yi, Lan, 1984-. “Biomarker discovery for microarray data by enriched methods, stochastic approximation and mixed effect models.” 2014. Thesis, Rutgers University. Accessed September 27, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/44327/.

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

MLA Handbook (7th Edition):

Yi, Lan, 1984-. “Biomarker discovery for microarray data by enriched methods, stochastic approximation and mixed effect models.” 2014. Web. 27 Sep 2020.

Vancouver:

Yi, Lan 1. Biomarker discovery for microarray data by enriched methods, stochastic approximation and mixed effect models. [Internet] [Thesis]. Rutgers University; 2014. [cited 2020 Sep 27]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/44327/.

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

Council of Science Editors:

Yi, Lan 1. Biomarker discovery for microarray data by enriched methods, stochastic approximation and mixed effect models. [Thesis]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/44327/

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


Rutgers University

26. Cherkas, Yauheniya. Classification and multiple testing for microarray data.

Degree: PhD, Statistics and Biostatistics, 2010, Rutgers University

This thesis aims to provide a solution to the classification and hypothesis testing problems as well as to create a tool to perform clustering, hypothesis… (more)

Subjects/Keywords: DNA microarrays – Testing; Statistical hypothesis testing; Discriminant analysis

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

APA (6th Edition):

Cherkas, Y. (2010). Classification and multiple testing for microarray data. (Doctoral Dissertation). Rutgers University. Retrieved from http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056278

Chicago Manual of Style (16th Edition):

Cherkas, Yauheniya. “Classification and multiple testing for microarray data.” 2010. Doctoral Dissertation, Rutgers University. Accessed September 27, 2020. http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056278.

MLA Handbook (7th Edition):

Cherkas, Yauheniya. “Classification and multiple testing for microarray data.” 2010. Web. 27 Sep 2020.

Vancouver:

Cherkas Y. Classification and multiple testing for microarray data. [Internet] [Doctoral dissertation]. Rutgers University; 2010. [cited 2020 Sep 27]. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056278.

Council of Science Editors:

Cherkas Y. Classification and multiple testing for microarray data. [Doctoral Dissertation]. Rutgers University; 2010. Available from: http://hdl.rutgers.edu/1782.1/rucore10001600001.ETD.000056278


Rutgers University

27. Tang, Ning. Robust gene set analysis and robust gene expression.

Degree: Statistics and Biostatistics, 2014, Rutgers University

Subjects/Keywords: DNA microarrays; Gene expression

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APA (6th Edition):

Tang, N. (2014). Robust gene set analysis and robust gene expression. (Thesis). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/44248/

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):

Tang, Ning. “Robust gene set analysis and robust gene expression.” 2014. Thesis, Rutgers University. Accessed September 27, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/44248/.

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

MLA Handbook (7th Edition):

Tang, Ning. “Robust gene set analysis and robust gene expression.” 2014. Web. 27 Sep 2020.

Vancouver:

Tang N. Robust gene set analysis and robust gene expression. [Internet] [Thesis]. Rutgers University; 2014. [cited 2020 Sep 27]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/44248/.

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

Council of Science Editors:

Tang N. Robust gene set analysis and robust gene expression. [Thesis]. Rutgers University; 2014. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/44248/

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


Hong Kong University of Science and Technology

28. Wang, Haitian. Classification of complex disease incorporating interaction effects and identifying causal SNPs in the context of rare variants.

Degree: 2011, Hong Kong University of Science and Technology

 In the past decade, the genome-wide association studies (GWAS) have sequenced over 40 complex diseases using microarray technology and their genetic associations have been intensively… (more)

Subjects/Keywords: Genomes  – Statistical methods ; DNA microarrays  – Statistical methods ; Genetic disorders  – Statistical methods

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APA (6th Edition):

Wang, H. (2011). Classification of complex disease incorporating interaction effects and identifying causal SNPs in the context of rare variants. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-7191 ; https://doi.org/10.14711/thesis-b1146252 ; http://repository.ust.hk/ir/bitstream/1783.1-7191/1/th_redirect.html

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):

Wang, Haitian. “Classification of complex disease incorporating interaction effects and identifying causal SNPs in the context of rare variants.” 2011. Thesis, Hong Kong University of Science and Technology. Accessed September 27, 2020. http://repository.ust.hk/ir/Record/1783.1-7191 ; https://doi.org/10.14711/thesis-b1146252 ; http://repository.ust.hk/ir/bitstream/1783.1-7191/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Wang, Haitian. “Classification of complex disease incorporating interaction effects and identifying causal SNPs in the context of rare variants.” 2011. Web. 27 Sep 2020.

Vancouver:

Wang H. Classification of complex disease incorporating interaction effects and identifying causal SNPs in the context of rare variants. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2011. [cited 2020 Sep 27]. Available from: http://repository.ust.hk/ir/Record/1783.1-7191 ; https://doi.org/10.14711/thesis-b1146252 ; http://repository.ust.hk/ir/bitstream/1783.1-7191/1/th_redirect.html.

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

Council of Science Editors:

Wang H. Classification of complex disease incorporating interaction effects and identifying causal SNPs in the context of rare variants. [Thesis]. Hong Kong University of Science and Technology; 2011. Available from: http://repository.ust.hk/ir/Record/1783.1-7191 ; https://doi.org/10.14711/thesis-b1146252 ; http://repository.ust.hk/ir/bitstream/1783.1-7191/1/th_redirect.html

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


University of Washington

29. Lemba, Maris. Real-time Three-Dimensional DNA Microarrays: How Well Can We Distinguish Between Related Target Sequences?.

Degree: PhD, 2013, University of Washington

DNA microarrays, due to their highly parallel nature, are in principle well suited for rapid identification of known or related microbial species, but our ability… (more)

Subjects/Keywords: DNA; Gel-based arrays; Microarrays; Thermal dissociation; Biomedical engineering; bioengineering

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

APA (6th Edition):

Lemba, M. (2013). Real-time Three-Dimensional DNA Microarrays: How Well Can We Distinguish Between Related Target Sequences?. (Doctoral Dissertation). University of Washington. Retrieved from http://hdl.handle.net/1773/22656

Chicago Manual of Style (16th Edition):

Lemba, Maris. “Real-time Three-Dimensional DNA Microarrays: How Well Can We Distinguish Between Related Target Sequences?.” 2013. Doctoral Dissertation, University of Washington. Accessed September 27, 2020. http://hdl.handle.net/1773/22656.

MLA Handbook (7th Edition):

Lemba, Maris. “Real-time Three-Dimensional DNA Microarrays: How Well Can We Distinguish Between Related Target Sequences?.” 2013. Web. 27 Sep 2020.

Vancouver:

Lemba M. Real-time Three-Dimensional DNA Microarrays: How Well Can We Distinguish Between Related Target Sequences?. [Internet] [Doctoral dissertation]. University of Washington; 2013. [cited 2020 Sep 27]. Available from: http://hdl.handle.net/1773/22656.

Council of Science Editors:

Lemba M. Real-time Three-Dimensional DNA Microarrays: How Well Can We Distinguish Between Related Target Sequences?. [Doctoral Dissertation]. University of Washington; 2013. Available from: http://hdl.handle.net/1773/22656


University of Western Ontario

30. Dong, Qin. Oligonucleotide Design for Whole Genome Tiling Arrays.

Degree: 2014, University of Western Ontario

 Oligonucleotides are short, single-stranded fragments of DNA or RNA, designed to readily bind with a unique part in the target sequence. They have many important… (more)

Subjects/Keywords: DNA; oligonucleotide; tiling arrays; microarrays; Bioinformatics; Other Computer Sciences

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APA (6th Edition):

Dong, Q. (2014). Oligonucleotide Design for Whole Genome Tiling Arrays. (Thesis). University of Western Ontario. Retrieved from https://ir.lib.uwo.ca/etd/1875

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):

Dong, Qin. “Oligonucleotide Design for Whole Genome Tiling Arrays.” 2014. Thesis, University of Western Ontario. Accessed September 27, 2020. https://ir.lib.uwo.ca/etd/1875.

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

MLA Handbook (7th Edition):

Dong, Qin. “Oligonucleotide Design for Whole Genome Tiling Arrays.” 2014. Web. 27 Sep 2020.

Vancouver:

Dong Q. Oligonucleotide Design for Whole Genome Tiling Arrays. [Internet] [Thesis]. University of Western Ontario; 2014. [cited 2020 Sep 27]. Available from: https://ir.lib.uwo.ca/etd/1875.

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

Council of Science Editors:

Dong Q. Oligonucleotide Design for Whole Genome Tiling Arrays. [Thesis]. University of Western Ontario; 2014. Available from: https://ir.lib.uwo.ca/etd/1875

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

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