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Genetic 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.
Biodata Mining|December 31, 2015
Characterizing gene-gene interactions in a statistical epistasis network of twelve candidate genes for obesityRishika De, Ting Hu, Jason H Moore, et al.
Evolutionary Computation|May 11, 2018
A Probabilistic and Multi-Objective Analysis of Lexicase Selection and -Lexicase SelectionWilliam La Cava, Thomas Helmuth, Lee Spector, et al.
Trends in Pharmacological Sciences|August 25, 2011
Systems genetics for drug target discoveryNadia M Penrod, Richard Cowper-Sal-lari, Jason H Moore
Interdisciplinary Sciences, Computational Life Sciences|July 27, 2010
Exploiting graphics processing units for computational biology and bioinformaticsJoshua L Payne, Nicholas A Sinnott-Armstrong, Jason H Moore
Trends in Genetics : TIG|August 4, 2012
Cancer heterogeneity: origins and implications for genetic association studiesDavnah Urbach, Mathieu Lupien, Margaret R Karagas, 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 Haines
BMC 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 Haines
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