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A powerful and efficient set test for genetic markers that handles confounders.

, , , , , and . Bioinform., 29 (12): 1526-1533 (2013)

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The Future of Genome-Based Medicine., , , and . Pacific Symposium on Biocomputing, page 456-458. World Scientific Publishing, (2013)Bayesian Detection of Infrequent Differences in Sets of Time Series with Shared Structure., , , , and . NIPS, page 905-912. MIT Press, (2006)A view of estimation of distribution algorithms through the lens of expectation-maximization., , , , and . GECCO Companion, page 189-190. ACM, (2020)Correction for hidden confounders in the genetic analysis of gene expression, , , and . Proceedings of the National Academy of Sciences, 107 (38): 16465--16470 (Sep 21, 2010)Leveraging Information Across HLA Alleles/Supertypes Improves Epitope Prediction., , and . RECOMB, volume 3909 of Lecture Notes in Computer Science, page 296-308. Springer, (2006)Session introduction., , , and . Pacific Symposium on Biocomputing, page 171-174. World Scientific Publishing, (2013)Session introduction., , , and . Pacific Symposium on Biocomputing, page 323-326. World Scientific Publishing, (2012)Correction for Hidden Confounders in the Genetic Analysis of Gene Expression (Abstract)., , , and . UAI, page 852. AUAI Press, (2011)Difference detection in LC-MS data for protein biomarker discovery., , , , and . Bioinform., 23 (2): 198-204 (2007)Determining the Number of Non-Spurious Arcs in a Learned DAG Model: Investigation of a Bayesian and a Frequentist Approach, and . CoRR, (2012)