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Biodata Mining|November 24, 2015
gammaMAXT: a fast multiple-testing correction algorithmFrançois Van Lishout, Francesco Gadaleta, Jason H Moore, et al.
Computational Toxicology (Amsterdam, Netherlands)|October 13, 2023
Exploring genetic influences on adverse outcome pathways using heuristic simulation and graph data scienceJoseph D Romano, Liang Mei, Jonathan Senn, et al.
Research Square|September 16, 2024
Assessing the Limitations of Relief-Based Algorithms in Detecting Higher-Order InteractionsPhilip J Freda, Suyu Ye, Robert Zhang, et al.
Plos Genetics|November 19, 2013
Recurrent tissue-specific mtDNA mutations are common in humansDavid C Samuels, Chun Li, Bingshan Li, et al.
Human Heredity|May 11, 2004
Multilocus analysis of hypertension: a hierarchical approachScott M Williams, Marylyn D Ritchie, John A Phillips, et al.
Coronary Artery Disease|July 18, 2006
Interaction among 5,10 methylenetetrahydrofolate reductase, plasminogen activator inhibitor and endothelial nitric oxide synthase gene polymorphisms predicts the severity of coronary artery disease in Turkish patientsDeniz Agirbasli, Mehmet Agirbasli, Scott M Williams, et al.
Genome Research|June 6, 2012
Integrative functional genomics identifies an enhancer looping to the SOX9 gene disrupted by the 17q24.3 prostate cancer risk locusXiaoyang Zhang, Richard Cowper-Sal lari, Swneke D Bailey, et al.
Arthritis and Rheumatism|June 26, 2008
Ability of epistatic interactions of cytokine single-nucleotide polymorphisms to predict susceptibility to disease subsets in systemic sclerosis patientsLorenzo Beretta, Francesca Cappiello, Jason H Moore, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|December 9, 2017
Leveraging putative enhancer-promoter interactions to investigate two-way epistasis in Type 2 Diabetes GWASElisabetta Manduchi, Alessandra Chesi, Molly A Hall, et al.
Biodata Mining|June 23, 2015
Testing multiple hypotheses through IMP weighted FDR based on a genetic functional network with application to a new zebrafish transcriptome studyJiang Gui, Casey S Greene, Con Sullivan, et al.
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