A latent factor model with a mixture of sparse and dense factors to model gene expression data with confounding effects

Chuan Gao, Christopher D. Brown, Barbara E. Engelhardt

Type: Preprint

Publication Date: 2013-01-01

Citations: 21

DOI: https://doi.org/10.48550/arxiv.1310.4792

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+ PDF Chat	Inference with normal-gamma prior distributions in regression problems	2010	Philip J. Brown Jim E. Griffin
+	The Bayesian Lasso	2008	Trevor Park George Casella
+	The varimax criterion for analytic rotation in factor analysis	1958	Henry F. Kaiser
+	Bayesian Variable Selection in Linear Regression	1988	Toby J. Mitchell John J. Beauchamp
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+	Variable Selection via Gibbs Sampling	1993	Edward I. George Robert E. McCulloch
+	Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm	1977	A. P. Dempster N. M. Laird Donald B. Rubin
+	An Introduction to Multivariate Statistical Analysis	1986	Robb J. Muirhead T. W. Anderson
+	EM algorithms for ML factor analysis	1982	Donald B. Rubin Dorothy T. Thayer
+	Two sample tests for high-dimensional covariance matrices	2012	Jun Li Song Xi Chen