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You searched for +publisher:"University of Michigan" +contributor:("Athey, Brian D."). Showing records 1 – 18 of 18 total matches.

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University of Michigan

1. Assis, Raquel. Origin and Evolution of Novel Sequences by Gene Duplication.

Degree: PhD, Bioinformatics, 2011, University of Michigan

 Gene duplication is a key source of genetic innovation. The recent availability of whole-genome sequences from a number of closely-related species makes it possible to… (more)

Subjects/Keywords: Comparative Genomics; Gene Duplication; Nested Genes; PiRNA Evolution; Gene Conversion; Ecology and Evolutionary Biology; Science

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APA (6th Edition):

Assis, R. (2011). Origin and Evolution of Novel Sequences by Gene Duplication. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/86446

Chicago Manual of Style (16th Edition):

Assis, Raquel. “Origin and Evolution of Novel Sequences by Gene Duplication.” 2011. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/86446.

MLA Handbook (7th Edition):

Assis, Raquel. “Origin and Evolution of Novel Sequences by Gene Duplication.” 2011. Web. 04 Aug 2020.

Vancouver:

Assis R. Origin and Evolution of Novel Sequences by Gene Duplication. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/86446.

Council of Science Editors:

Assis R. Origin and Evolution of Novel Sequences by Gene Duplication. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/86446


University of Michigan

2. Hodges, Andrew P. Bayesian Network Approaches for Refining and Expanding Cellular and Immunological Pathways.

Degree: PhD, Bioinformatics, 2011, University of Michigan

 This thesis focuses on computational analysis of cellular and immune pathways of living cells in response to molecular signals using Bayesian networks (BN). Although Bayesian… (more)

Subjects/Keywords: Systems Biology; Genetics; Mathematics; Molecular, Cellular and Developmental Biology; Science (General); Statistics and Numeric Data; Science

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APA (6th Edition):

Hodges, A. P. (2011). Bayesian Network Approaches for Refining and Expanding Cellular and Immunological Pathways. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/89840

Chicago Manual of Style (16th Edition):

Hodges, Andrew P. “Bayesian Network Approaches for Refining and Expanding Cellular and Immunological Pathways.” 2011. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/89840.

MLA Handbook (7th Edition):

Hodges, Andrew P. “Bayesian Network Approaches for Refining and Expanding Cellular and Immunological Pathways.” 2011. Web. 04 Aug 2020.

Vancouver:

Hodges AP. Bayesian Network Approaches for Refining and Expanding Cellular and Immunological Pathways. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/89840.

Council of Science Editors:

Hodges AP. Bayesian Network Approaches for Refining and Expanding Cellular and Immunological Pathways. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/89840


University of Michigan

3. Kalinin, Alexandr. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics.

Degree: PhD, Bioinformatics, 2018, University of Michigan

 Quantitative analysis of morphological changes in a cell nucleus is important for the understanding of nuclear architecture and its relationship with cell differentiation, development, proliferation,… (more)

Subjects/Keywords: cell nuclear morphology; 3d shape modeling; computer vision; machine learning; visual analytics; Molecular, Cellular and Developmental Biology; Science (General); Statistics and Numeric Data; Health Sciences; Science

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APA (6th Edition):

Kalinin, A. (2018). Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/147598

Chicago Manual of Style (16th Edition):

Kalinin, Alexandr. “Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics.” 2018. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/147598.

MLA Handbook (7th Edition):

Kalinin, Alexandr. “Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics.” 2018. Web. 04 Aug 2020.

Vancouver:

Kalinin A. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/147598.

Council of Science Editors:

Kalinin A. Cell Nuclear Morphology Analysis Using 3D Shape Modeling, Machine Learning and Visual Analytics. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/147598


University of Michigan

4. Govindarajoo, Brandon. Template Based Modeling and Structural Refinement of Protein-Protein Interactions.

Degree: PhD, Bioinformatics, 2016, University of Michigan

 Determining protein structures from sequence is a fundamental problem in molecular biology, as protein structure is essential to understanding protein function. In this study, I… (more)

Subjects/Keywords: Protein structure prediction.; Protein protein interactions.; Biological Chemistry; Science

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APA (6th Edition):

Govindarajoo, B. (2016). Template Based Modeling and Structural Refinement of Protein-Protein Interactions. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/135847

Chicago Manual of Style (16th Edition):

Govindarajoo, Brandon. “Template Based Modeling and Structural Refinement of Protein-Protein Interactions.” 2016. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/135847.

MLA Handbook (7th Edition):

Govindarajoo, Brandon. “Template Based Modeling and Structural Refinement of Protein-Protein Interactions.” 2016. Web. 04 Aug 2020.

Vancouver:

Govindarajoo B. Template Based Modeling and Structural Refinement of Protein-Protein Interactions. [Internet] [Doctoral dissertation]. University of Michigan; 2016. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/135847.

Council of Science Editors:

Govindarajoo B. Template Based Modeling and Structural Refinement of Protein-Protein Interactions. [Doctoral Dissertation]. University of Michigan; 2016. Available from: http://hdl.handle.net/2027.42/135847

5. Allyn-Feuer, Ari. The Pharmacoepigenomics Informatics Pipeline and H-GREEN Hi-C Compiler: Discovering Pharmacogenomic Variants and Pathways with the Epigenome and Spatial Genome.

Degree: PhD, Bioinformatics, 2018, University of Michigan

 Over the last decade, biomedical science has been transformed by the epigenome and spatial genome, but the discipline of pharmacogenomics, the study of the genetic… (more)

Subjects/Keywords: Epigenome; Spatial Genome; Pharmacogenomics; Bioinformatics; Genomics; Genetic Testing; Genetics; Pharmacy and Pharmacology; Health Sciences; Science

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APA (6th Edition):

Allyn-Feuer, A. (2018). The Pharmacoepigenomics Informatics Pipeline and H-GREEN Hi-C Compiler: Discovering Pharmacogenomic Variants and Pathways with the Epigenome and Spatial Genome. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/145835

Chicago Manual of Style (16th Edition):

Allyn-Feuer, Ari. “The Pharmacoepigenomics Informatics Pipeline and H-GREEN Hi-C Compiler: Discovering Pharmacogenomic Variants and Pathways with the Epigenome and Spatial Genome.” 2018. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/145835.

MLA Handbook (7th Edition):

Allyn-Feuer, Ari. “The Pharmacoepigenomics Informatics Pipeline and H-GREEN Hi-C Compiler: Discovering Pharmacogenomic Variants and Pathways with the Epigenome and Spatial Genome.” 2018. Web. 04 Aug 2020.

Vancouver:

Allyn-Feuer A. The Pharmacoepigenomics Informatics Pipeline and H-GREEN Hi-C Compiler: Discovering Pharmacogenomic Variants and Pathways with the Epigenome and Spatial Genome. [Internet] [Doctoral dissertation]. University of Michigan; 2018. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/145835.

Council of Science Editors:

Allyn-Feuer A. The Pharmacoepigenomics Informatics Pipeline and H-GREEN Hi-C Compiler: Discovering Pharmacogenomic Variants and Pathways with the Epigenome and Spatial Genome. [Doctoral Dissertation]. University of Michigan; 2018. Available from: http://hdl.handle.net/2027.42/145835

6. Liu, Elson Yee-Hsin. Immersion Scatterometry for Nanoscale Grating Topography Extraction.

Degree: PhD, Electrical Engineering, 2014, University of Michigan

 The objective of optical scatterometry is to determine the geometrical parameters of a periodic structure, such as a surface-relief grating, from its ellipsometric spectrum. There… (more)

Subjects/Keywords: Semiconductor Metrology; Spectroscopic Ellipsometry; Scatterometry; Critical-dimension Metrology; Immersion Ellipsometry; Electrical Engineering; Engineering

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APA (6th Edition):

Liu, E. Y. (2014). Immersion Scatterometry for Nanoscale Grating Topography Extraction. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/107283

Chicago Manual of Style (16th Edition):

Liu, Elson Yee-Hsin. “Immersion Scatterometry for Nanoscale Grating Topography Extraction.” 2014. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/107283.

MLA Handbook (7th Edition):

Liu, Elson Yee-Hsin. “Immersion Scatterometry for Nanoscale Grating Topography Extraction.” 2014. Web. 04 Aug 2020.

Vancouver:

Liu EY. Immersion Scatterometry for Nanoscale Grating Topography Extraction. [Internet] [Doctoral dissertation]. University of Michigan; 2014. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/107283.

Council of Science Editors:

Liu EY. Immersion Scatterometry for Nanoscale Grating Topography Extraction. [Doctoral Dissertation]. University of Michigan; 2014. Available from: http://hdl.handle.net/2027.42/107283

7. Lee, David. Scientific Analysis by the Crowd: A System for Implicit Collaboration between Experts, Algorithms, and Novices in Distributed Work.

Degree: PhD, Information, 2013, University of Michigan

 Crowd sourced strategies have the potential to increase the throughput of tasks historically constrained by the performance of individual experts. A critical open question is… (more)

Subjects/Keywords: Crowdsourcing; Neuroscience; Information and Library Science; Social Sciences

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APA (6th Edition):

Lee, D. (2013). Scientific Analysis by the Crowd: A System for Implicit Collaboration between Experts, Algorithms, and Novices in Distributed Work. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/102368

Chicago Manual of Style (16th Edition):

Lee, David. “Scientific Analysis by the Crowd: A System for Implicit Collaboration between Experts, Algorithms, and Novices in Distributed Work.” 2013. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/102368.

MLA Handbook (7th Edition):

Lee, David. “Scientific Analysis by the Crowd: A System for Implicit Collaboration between Experts, Algorithms, and Novices in Distributed Work.” 2013. Web. 04 Aug 2020.

Vancouver:

Lee D. Scientific Analysis by the Crowd: A System for Implicit Collaboration between Experts, Algorithms, and Novices in Distributed Work. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/102368.

Council of Science Editors:

Lee D. Scientific Analysis by the Crowd: A System for Implicit Collaboration between Experts, Algorithms, and Novices in Distributed Work. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/102368

8. Su, Gang. Omics Data Exploration: Across Scales and Dimensions.

Degree: PhD, Bioinformatics, 2013, University of Michigan

 The rapid development and adoption of high throughput technologies has led to an avalanche of omics data, including those from genome, transcriptome, proteome and metabolome,… (more)

Subjects/Keywords: Bioinformatics; Data-driven Exploratory Analysis; Data Visualization; Ontology; Robust Statistical Methods; Science (General); Science

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APA (6th Edition):

Su, G. (2013). Omics Data Exploration: Across Scales and Dimensions. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/97834

Chicago Manual of Style (16th Edition):

Su, Gang. “Omics Data Exploration: Across Scales and Dimensions.” 2013. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/97834.

MLA Handbook (7th Edition):

Su, Gang. “Omics Data Exploration: Across Scales and Dimensions.” 2013. Web. 04 Aug 2020.

Vancouver:

Su G. Omics Data Exploration: Across Scales and Dimensions. [Internet] [Doctoral dissertation]. University of Michigan; 2013. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/97834.

Council of Science Editors:

Su G. Omics Data Exploration: Across Scales and Dimensions. [Doctoral Dissertation]. University of Michigan; 2013. Available from: http://hdl.handle.net/2027.42/97834

9. Strumba, Viktoriya. Association Analyses of Known Genetic Variants with Gene Expression in Brain.

Degree: PhD, Bioinformatics, 2009, University of Michigan

 The availability of high through-put genome-wide expression technologies has resulted in an unprecedented ability to analyze the consequences of genetic mutations or variants on expression.… (more)

Subjects/Keywords: Microarray Gene Expression Analysis; Genetics; Science

…frozen in liquid nitrogen. The University of Michigan Committee on Use and Care of Animals… 

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APA (6th Edition):

Strumba, V. (2009). Association Analyses of Known Genetic Variants with Gene Expression in Brain. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/64658

Chicago Manual of Style (16th Edition):

Strumba, Viktoriya. “Association Analyses of Known Genetic Variants with Gene Expression in Brain.” 2009. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/64658.

MLA Handbook (7th Edition):

Strumba, Viktoriya. “Association Analyses of Known Genetic Variants with Gene Expression in Brain.” 2009. Web. 04 Aug 2020.

Vancouver:

Strumba V. Association Analyses of Known Genetic Variants with Gene Expression in Brain. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/64658.

Council of Science Editors:

Strumba V. Association Analyses of Known Genetic Variants with Gene Expression in Brain. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/64658

10. Khazanov, Nickolay. Large-Scale Analysis of Protein-Ligand Binding Sites using the Binding MOAD Database.

Degree: PhD, Bioinformatics, 2012, University of Michigan

 Current structure-based drug design (SBDD) methods require understanding of general tends of protein-ligand interactions. Informative descriptors of ligand-binding sites provide powerful heuristics to improve SBDD… (more)

Subjects/Keywords: Bioinformatics; Structure-based Drug Design; Biological Chemistry; Statistics and Numeric Data; Science

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APA (6th Edition):

Khazanov, N. (2012). Large-Scale Analysis of Protein-Ligand Binding Sites using the Binding MOAD Database. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/91400

Chicago Manual of Style (16th Edition):

Khazanov, Nickolay. “Large-Scale Analysis of Protein-Ligand Binding Sites using the Binding MOAD Database.” 2012. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/91400.

MLA Handbook (7th Edition):

Khazanov, Nickolay. “Large-Scale Analysis of Protein-Ligand Binding Sites using the Binding MOAD Database.” 2012. Web. 04 Aug 2020.

Vancouver:

Khazanov N. Large-Scale Analysis of Protein-Ligand Binding Sites using the Binding MOAD Database. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/91400.

Council of Science Editors:

Khazanov N. Large-Scale Analysis of Protein-Ligand Binding Sites using the Binding MOAD Database. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/91400

11. Ozgur, Arzucan. Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine.

Degree: PhD, Computer Science & Engineering, 2010, University of Michigan

 Most of the new and important findings in biomedicine are only available in the text of the published scientific articles. The first goal of this… (more)

Subjects/Keywords: Information Extraction; Natural Language Processing; Text Mining; Bioinformatics; Literature-based Discovery; Network Analysis; Computer Science; Engineering; Science

…of Doctor of Philosophy (Computer Science and Engineering) in The University of… …Michigan 2010 Doctoral Committee: Professor Dragomir R. Radev, Chair Professor Brian D. Athey… 

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APA (6th Edition):

Ozgur, A. (2010). Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/78956

Chicago Manual of Style (16th Edition):

Ozgur, Arzucan. “Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine.” 2010. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/78956.

MLA Handbook (7th Edition):

Ozgur, Arzucan. “Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine.” 2010. Web. 04 Aug 2020.

Vancouver:

Ozgur A. Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine. [Internet] [Doctoral dissertation]. University of Michigan; 2010. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/78956.

Council of Science Editors:

Ozgur A. Text and Network Mining for Literature-Based Scientific Discovery in Biomedicine. [Doctoral Dissertation]. University of Michigan; 2010. Available from: http://hdl.handle.net/2027.42/78956

12. Shah, Abhik D. Mechanistic Bayesian Networks for Integrating Knowledge and Data to Unravel Biological Complexity.

Degree: PhD, Bioinformatics, 2011, University of Michigan

 The determination of how protein interactions affect gene regulation is an important problem in systems biology. By identifying quantitative relationships between the interactome and transcriptome… (more)

Subjects/Keywords: Bayesian Network; Systems Biology; Health Sciences

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APA (6th Edition):

Shah, A. D. (2011). Mechanistic Bayesian Networks for Integrating Knowledge and Data to Unravel Biological Complexity. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/84502

Chicago Manual of Style (16th Edition):

Shah, Abhik D. “Mechanistic Bayesian Networks for Integrating Knowledge and Data to Unravel Biological Complexity.” 2011. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/84502.

MLA Handbook (7th Edition):

Shah, Abhik D. “Mechanistic Bayesian Networks for Integrating Knowledge and Data to Unravel Biological Complexity.” 2011. Web. 04 Aug 2020.

Vancouver:

Shah AD. Mechanistic Bayesian Networks for Integrating Knowledge and Data to Unravel Biological Complexity. [Internet] [Doctoral dissertation]. University of Michigan; 2011. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/84502.

Council of Science Editors:

Shah AD. Mechanistic Bayesian Networks for Integrating Knowledge and Data to Unravel Biological Complexity. [Doctoral Dissertation]. University of Michigan; 2011. Available from: http://hdl.handle.net/2027.42/84502

13. Sarntivijai, Sirarat. Novel Integrative Bioinformatics Approaches to Biomedical Ontology Practice for Translational Informatics.

Degree: PhD, Bioinformatics, 2012, University of Michigan

 This study presents novel ontology-based approaches to solve biomedical problems raised from basic research to clinical data analysis. An ontology-based method that integrates basic and… (more)

Subjects/Keywords: Cell Line Ontology; Ontology of Adverse Events; Translational Informatics; Bioinformatics; Vaccine Adverse Event Reporting System; Health Informatics; Health Sciences; Science

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APA (6th Edition):

Sarntivijai, S. (2012). Novel Integrative Bioinformatics Approaches to Biomedical Ontology Practice for Translational Informatics. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/93945

Chicago Manual of Style (16th Edition):

Sarntivijai, Sirarat. “Novel Integrative Bioinformatics Approaches to Biomedical Ontology Practice for Translational Informatics.” 2012. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/93945.

MLA Handbook (7th Edition):

Sarntivijai, Sirarat. “Novel Integrative Bioinformatics Approaches to Biomedical Ontology Practice for Translational Informatics.” 2012. Web. 04 Aug 2020.

Vancouver:

Sarntivijai S. Novel Integrative Bioinformatics Approaches to Biomedical Ontology Practice for Translational Informatics. [Internet] [Doctoral dissertation]. University of Michigan; 2012. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/93945.

Council of Science Editors:

Sarntivijai S. Novel Integrative Bioinformatics Approaches to Biomedical Ontology Practice for Translational Informatics. [Doctoral Dissertation]. University of Michigan; 2012. Available from: http://hdl.handle.net/2027.42/93945

14. Benson, Mark. Binding MOAD (Mother of All Databases).

Degree: PhD, Bioinformatics, 2009, University of Michigan

 Binding MOAD (Mother of All Databases) is the largest collection of high-quality, protein-ligand complexes available from the Protein Data Bank. Mining Binding MOAD has revealed… (more)

Subjects/Keywords: Protein-ligand Binding; Database; Natural Language Processing; Ligand Efficiency; Docking; Biological Chemistry; Science

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APA (6th Edition):

Benson, M. (2009). Binding MOAD (Mother of All Databases). (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/62331

Chicago Manual of Style (16th Edition):

Benson, Mark. “Binding MOAD (Mother of All Databases).” 2009. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/62331.

MLA Handbook (7th Edition):

Benson, Mark. “Binding MOAD (Mother of All Databases).” 2009. Web. 04 Aug 2020.

Vancouver:

Benson M. Binding MOAD (Mother of All Databases). [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/62331.

Council of Science Editors:

Benson M. Binding MOAD (Mother of All Databases). [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/62331

15. Seaman, Laura. 4D Nucleome of Cancer.

Degree: PhD, Bioinformatics, 2017, University of Michigan

 Chromosomal translocations and aneuploidy are hallmarks of cancer genomes; however, the impact of these aberrations on the nucleome (i.e., nuclear structure and gene expression) are… (more)

Subjects/Keywords: bioinformatics; cancer; Hi-C; nuclear structure; Biomedical Engineering; Health Sciences

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APA (6th Edition):

Seaman, L. (2017). 4D Nucleome of Cancer. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/140814

Chicago Manual of Style (16th Edition):

Seaman, Laura. “4D Nucleome of Cancer.” 2017. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/140814.

MLA Handbook (7th Edition):

Seaman, Laura. “4D Nucleome of Cancer.” 2017. Web. 04 Aug 2020.

Vancouver:

Seaman L. 4D Nucleome of Cancer. [Internet] [Doctoral dissertation]. University of Michigan; 2017. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/140814.

Council of Science Editors:

Seaman L. 4D Nucleome of Cancer. [Doctoral Dissertation]. University of Michigan; 2017. Available from: http://hdl.handle.net/2027.42/140814


University of Michigan

16. Kim, You Jung. Efficient Index-based Methods for Processing Large Biological Databases.

Degree: PhD, Computer Science & Engineering, 2008, University of Michigan

 Over the last few decades, advances in life sciences have generated a vast amount of biological data. To cope with the rapid increase in data… (more)

Subjects/Keywords: Database; Bioinformatics; Index Based Methods; Biological Sequence Database Search; Computer Science; Engineering

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APA (6th Edition):

Kim, Y. J. (2008). Efficient Index-based Methods for Processing Large Biological Databases. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/61570

Chicago Manual of Style (16th Edition):

Kim, You Jung. “Efficient Index-based Methods for Processing Large Biological Databases.” 2008. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/61570.

MLA Handbook (7th Edition):

Kim, You Jung. “Efficient Index-based Methods for Processing Large Biological Databases.” 2008. Web. 04 Aug 2020.

Vancouver:

Kim YJ. Efficient Index-based Methods for Processing Large Biological Databases. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/61570.

Council of Science Editors:

Kim YJ. Efficient Index-based Methods for Processing Large Biological Databases. [Doctoral Dissertation]. University of Michigan; 2008. Available from: http://hdl.handle.net/2027.42/61570


University of Michigan

17. Santos, Carlos F. Automated Natural-Language Processing for Integration and Functional Annotation of Complex Biological Systems.

Degree: PhD, Bioinformatics, 2008, University of Michigan

 This dissertation discusses the use of automated natural language processing (NLP) for characterization of biomolecular events in signal transduction pathway databases. I also discuss the… (more)

Subjects/Keywords: Natural Language Processing; Wnt Signaling; Genomic Functional Annotation; Prostate Cancer; Epigenetics; Literature Summarization; Engineering; Health Sciences; Science

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

APA (6th Edition):

Santos, C. F. (2008). Automated Natural-Language Processing for Integration and Functional Annotation of Complex Biological Systems. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/58394

Chicago Manual of Style (16th Edition):

Santos, Carlos F. “Automated Natural-Language Processing for Integration and Functional Annotation of Complex Biological Systems.” 2008. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/58394.

MLA Handbook (7th Edition):

Santos, Carlos F. “Automated Natural-Language Processing for Integration and Functional Annotation of Complex Biological Systems.” 2008. Web. 04 Aug 2020.

Vancouver:

Santos CF. Automated Natural-Language Processing for Integration and Functional Annotation of Complex Biological Systems. [Internet] [Doctoral dissertation]. University of Michigan; 2008. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/58394.

Council of Science Editors:

Santos CF. Automated Natural-Language Processing for Integration and Functional Annotation of Complex Biological Systems. [Doctoral Dissertation]. University of Michigan; 2008. Available from: http://hdl.handle.net/2027.42/58394


University of Michigan

18. Ajay, Subramanian Shankar. Novel Bioinformatics Approaches for MicroRNA Detection and Target Prediction.

Degree: PhD, Bioinformatics, 2009, University of Michigan

 MicroRNAs (miRNAs) are regulators of gene expression at the post-transcriptional level. Scientists have not been able to fully unlock their therapeutic potential because their functions… (more)

Subjects/Keywords: MicroRNA; Microarray; Target Prediction; Engineering; Health Sciences; Science

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

APA (6th Edition):

Ajay, S. S. (2009). Novel Bioinformatics Approaches for MicroRNA Detection and Target Prediction. (Doctoral Dissertation). University of Michigan. Retrieved from http://hdl.handle.net/2027.42/62207

Chicago Manual of Style (16th Edition):

Ajay, Subramanian Shankar. “Novel Bioinformatics Approaches for MicroRNA Detection and Target Prediction.” 2009. Doctoral Dissertation, University of Michigan. Accessed August 04, 2020. http://hdl.handle.net/2027.42/62207.

MLA Handbook (7th Edition):

Ajay, Subramanian Shankar. “Novel Bioinformatics Approaches for MicroRNA Detection and Target Prediction.” 2009. Web. 04 Aug 2020.

Vancouver:

Ajay SS. Novel Bioinformatics Approaches for MicroRNA Detection and Target Prediction. [Internet] [Doctoral dissertation]. University of Michigan; 2009. [cited 2020 Aug 04]. Available from: http://hdl.handle.net/2027.42/62207.

Council of Science Editors:

Ajay SS. Novel Bioinformatics Approaches for MicroRNA Detection and Target Prediction. [Doctoral Dissertation]. University of Michigan; 2009. Available from: http://hdl.handle.net/2027.42/62207

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