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TRIO RVEMVS: A Bayesian framework for rare variant association analysis with expectation-maximization variable selection using family trio data.

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Title: TRIO RVEMVS: A Bayesian framework for rare variant association analysis with expectation-maximization variable selection using family trio data.
Authors: Yu D; Division of Biostatistics, Data Science Institute, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America., Koslovsky M; Department of Statistics, Colorado State University, Fort Collins, Colorado, United States of America., Steiner MC; Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America., Mohammadi K; Department of Biostatistics and Data Management, Regeneron Pharmaceuticals, Inc., Tarrytown, New York, United States of America., Zhang C; Biostatistics and Research Decision Sciences, Merck & Co., Inc., North Wales, Pennsylvania, United States of America., Swartz MD; Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
Source: PloS one [PLoS One] 2024 Dec 04; Vol. 19 (12), pp. e0314502. Date of Electronic Publication: 2024 Dec 04 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Yu+D%22">Yu D</searchLink>; Division of Biostatistics, Data Science Institute, Medical College of Wisconsin, Milwaukee, Wisconsin, United States of America.<br /><searchLink fieldCode="AU" term="%22Koslovsky+M%22">Koslovsky M</searchLink>; Department of Statistics, Colorado State University, Fort Collins, Colorado, United States of America.<br /><searchLink fieldCode="AU" term="%22Steiner+MC%22">Steiner MC</searchLink>; Department of Human Genetics, University of Chicago, Chicago, Illinois, United States of America.<br /><searchLink fieldCode="AU" term="%22Mohammadi+K%22">Mohammadi K</searchLink>; Department of Biostatistics and Data Management, Regeneron Pharmaceuticals, Inc., Tarrytown, New York, United States of America.<br /><searchLink fieldCode="AU" term="%22Zhang+C%22">Zhang C</searchLink>; Biostatistics and Research Decision Sciences, Merck & Co., Inc., North Wales, Pennsylvania, United States of America.<br /><searchLink fieldCode="AU" term="%22Swartz+MD%22">Swartz MD</searchLink>; Department of Biostatistics and Data Science, School of Public Health, The University of Texas Health Science Center at Houston, Houston, Texas, United States of America.
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  Data: <searchLink fieldCode="JN" term="%22101285081%22">PloS one</searchLink> [PLoS One] 2024 Dec 04; Vol. 19 (12), pp. e0314502. <i>Date of Electronic Publication: </i>2024 Dec 04 (<i>Print Publication: </i>2024).
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