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Trends in Genetics : TIG|August 4, 2012
Cancer heterogeneity: origins and implications for genetic association studiesDavnah Urbach, Mathieu Lupien, Margaret R Karagas, et al.Biodata Mining|September 30, 2008
Filling the gap between biology and computer scienceJesús S Aguilar-Ruiz, Jason H Moore, Marylyn D RitchieGenetic Epidemiology|March 8, 2013
ViSEN: methodology and software for visualization of statistical epistasis networksTing Hu, Yuanzhu Chen, Jeff W Kiralis, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
A heuristic method for simulating open-data of arbitrary complexity that can be used to compare and evaluate machine learning methodsJason H Moore, Maksim Shestov, Peter Schmitt, et al.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 14, 2019
ODAL: A one-shot distributed algorithm to perform logistic regressions on electronic health records data from multiple clinical sitesRui Duan, Mary Regina Boland, Jason H Moore, et al.Trends in Genetics : TIG|November 4, 2004
Genetics, statistics and human disease: analytical retooling for complexityTricia A Thornton-Wells, Jason H Moore, Jonathan L HainesBMC Bioinformatics|April 14, 2006
Dissecting trait heterogeneity: a comparison of three clustering methods applied to genotypic dataTricia A Thornton-Wells, Jason H Moore, Jonathan L HainesNature Reviews. Genetics|April 3, 2020
Electronic health records and polygenic risk scores for predicting disease riskRuowang Li, Yong Chen, Marylyn D Ritchie, et al.IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 10, 2015
An Independent Filter for Gene Set Testing Based on Spectral EnrichmentH Robert Frost, Zhigang Li, Folkert W Asselbergs, et al.Briefings in Bioinformatics|February 7, 2012
Measuring the microbiome: perspectives on advances in DNA-based techniques for exploring microbial lifeJames A Foster, John Bunge, Jack A Gilbert, et al.Pageof 50