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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.
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.
Biodata Mining|April 8, 2016
Detecting gene-gene interactions using a permutation-based random forest methodJing Li, James D Malley, Angeline S Andrew, et al.
BMC Medical Genomics|August 1, 2022
Identifying genetic markers enriched by brain imaging endophenotypes in Alzheimer's diseaseMansu Kim, Ruiming Wu, Xiaohui Yao, et al.
Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing|March 12, 2005
Exploratory visual analysis of pharmacogenomic resultsDavid M Reif, Scott M Dudek, Christian M Shaffer, et al.
Biodata Mining|December 15, 2017
PMLB: a large benchmark suite for machine learning evaluation and comparisonRandal S Olson, William La Cava, Patryk Orzechowski, et al.
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