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Jason Moore, PhD
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Adjunct Professor of Biostatistics and Epidemiology
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Department: Biostatistics and Epidemiology
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Graduate Group Affiliations
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Contact information
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Institute for Biomedical Informatics
Philadelphia, PA 19104
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Philadelphia, PA 19104
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Email:
jhmoore@upenn.edu
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jhmoore@upenn.edu
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Publications
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Education:
21 9 B.S. 20 (Biological Sciences) c
31 Florida State University, 1991.
21 9 M.A. 1f (Applied Statistics) c
2f University of Michigan, 1998.
21 9 M.S. 1b (Human Genetics) c
2f University of Michigan, 1998.
21 a Ph.D. 1b (Human Genetics) c
2f University of Michigan, 1999.
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Permanent link21 9 B.S. 20 (Biological Sciences) c
31 Florida State University, 1991.
21 9 M.A. 1f (Applied Statistics) c
2f University of Michigan, 1998.
21 9 M.S. 1b (Human Genetics) c
2f University of Michigan, 1998.
21 a Ph.D. 1b (Human Genetics) c
2f University of Michigan, 1999.
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Description of Research Expertise
15b Artificial intelligence, bioinformatics, biomedical informatics, complex adaptive systems, data science, epistasis, genetic architecture, genetic epidemiology, genomics, human genetics, machine learning, network science, precision medicine, simulation, systems biology, translational bioinformatics, visualization, visual analyticse 29
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120 Moore, Jason H, Amos, Ryan, Kiralis, Jeff, Andrews, Peter C: Heuristic Identification of Biological Architectures for Simulating Complex Hierarchical Genetic Interactions. Genetic epidemiology 39(1): 25-34, 2015.
ec Frost, H Robert, Moore, Jason H: Optimization of gene set annotations via entropy minimization over variable clusters (EMVC). Bioinformatics 30: 1698-16706, 2014.
10d Pechenick, Dov A, Payne, Joshua L, Moore, Jason H: Phenotypic Robustness and the Assortativity Signature of Human Transcription Factor Networks. PLoS computational biology 10(8): e1003780, 2014.
105 Hu, Ting, Chen, Yuanzhu, Kiralis, Jeff W, Moore, Jason H: ViSEN: methodology and software for visualization of statistical epistasis networks. Genetic epidemiology 37(3): 283-285, 2013.
bd Bush, William S, Moore, Jason H: Genome-wide association studies. PLoS computational biology 8(12): e1002822, 2012.
154 Hu, Ting, Sinnott-Armstrong, Nicholas A, Kiralis, Jeff W, Andrew, Angeline S, Karagas, Margaret R, Moore, Jason H: Characterizing genetic interactions in human disease association studies using statistical epistasis networks. BMC bioinformatics 12(1): 364, 2011.
e8 Moore, Jason H, Asselbergs, Folkert W, Williams, Scott M: Bioinformatics challenges for genome-wide association studies. Bioinformatics 26(4): 445-455, 2010.
df Moore, Jason H, Williams, Scott M: Epistasis and its implications for personal genetics. The American Journal of Human Genetics 85(3): 309-320, 2009.
19b Moore, Jason H, Gilbert, Joshua C, Tsai, Chia-Ti, Chiang, Fu-Tien, Holden, Todd, Barney, Nate, White, Bill C: A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. Journal of theoretical biology 241(2): 252-261, 2006.
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Selected Publications
e2 Frost H Robert, Amos Christopher I, Moore Jason H: A global test for gene-gene interactions based on random matrix theory. Genetic epidemiology Jul 2016.120 Moore, Jason H, Amos, Ryan, Kiralis, Jeff, Andrews, Peter C: Heuristic Identification of Biological Architectures for Simulating Complex Hierarchical Genetic Interactions. Genetic epidemiology 39(1): 25-34, 2015.
ec Frost, H Robert, Moore, Jason H: Optimization of gene set annotations via entropy minimization over variable clusters (EMVC). Bioinformatics 30: 1698-16706, 2014.
10d Pechenick, Dov A, Payne, Joshua L, Moore, Jason H: Phenotypic Robustness and the Assortativity Signature of Human Transcription Factor Networks. PLoS computational biology 10(8): e1003780, 2014.
105 Hu, Ting, Chen, Yuanzhu, Kiralis, Jeff W, Moore, Jason H: ViSEN: methodology and software for visualization of statistical epistasis networks. Genetic epidemiology 37(3): 283-285, 2013.
bd Bush, William S, Moore, Jason H: Genome-wide association studies. PLoS computational biology 8(12): e1002822, 2012.
154 Hu, Ting, Sinnott-Armstrong, Nicholas A, Kiralis, Jeff W, Andrew, Angeline S, Karagas, Margaret R, Moore, Jason H: Characterizing genetic interactions in human disease association studies using statistical epistasis networks. BMC bioinformatics 12(1): 364, 2011.
e8 Moore, Jason H, Asselbergs, Folkert W, Williams, Scott M: Bioinformatics challenges for genome-wide association studies. Bioinformatics 26(4): 445-455, 2010.
df Moore, Jason H, Williams, Scott M: Epistasis and its implications for personal genetics. The American Journal of Human Genetics 85(3): 309-320, 2009.
19b Moore, Jason H, Gilbert, Joshua C, Tsai, Chia-Ti, Chiang, Fu-Tien, Holden, Todd, Barney, Nate, White, Bill C: A flexible computational framework for detecting, characterizing, and interpreting statistical patterns of epistasis in genetic studies of human disease susceptibility. Journal of theoretical biology 241(2): 252-261, 2006.
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