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Jason Moore, PhD

Edward Rose, M.D. and Elizabeth Kirk Rose, M.D. Professor
Department: Biostatistics and Epidemiology

Contact information
Institute for Biomedical Informatics
Philadelphia, PA 19104
Education:
B.S. (Biological Sciences)
Florida State University, 1991.
M.S. (Human Genetics)
University of Michigan, 1998.
M.A. (Applied Statistics)
University of Michigan, 1998.
Ph.D. (Human Genetics)
University of Michigan, 1999.
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Selected Publications

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.

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.

Frost, H Robert, Moore, Jason H: Optimization of gene set annotations via entropy minimization over variable clusters (EMVC). Bioinformatics 30: 1698-16706, 2014.

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.

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.

Bush, William S, Moore, Jason H: Genome-wide association studies. PLoS computational biology 8(12): e1002822, 2012.

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.

Moore, Jason H, Asselbergs, Folkert W, Williams, Scott M: Bioinformatics challenges for genome-wide association studies. Bioinformatics 26(4): 445-455, 2010.

Moore, Jason H, Williams, Scott M: Epistasis and its implications for personal genetics. The American Journal of Human Genetics 85(3): 309-320, 2009.

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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Last updated: 11/19/2018
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