Detecting Differentially Expressed Genes in Microarrays Using Bayesian Model Selection
type: Item
instance of: scholarly article
title: Detecting Differentially Expressed Genes in Microarrays Using Bayesian Model Selection
zbMATH Open document ID: 1041.62090
DOI: 10.1198/016214503000224
author: Hemant Ishwaran
author: J. Sunil Rao
published in: Journal of the American Statistical Association
publication date: 2004-06-10T00:00:00Z
full work available at URL: http://citeseerx.ist.psu.edu/viewdoc/summary
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92C40
Mathematics Subject Classification ID: 62F15
Mathematics Subject Classification ID: 62J10
Mathematics Subject Classification ID: 62J07
Mathematics Subject Classification ID: 92D10
zbMATH DE Number: 2073163
zbMATH Keywords: Bayesian analysis of variance
zbMATH Keywords: microarrays
zbMATH Keywords: false discovery rate
zbMATH Keywords: false nondiscovery rate
zbMATH Keywords: heteroscedasticity
zbMATH Keywords: ridge regression
zbMATH Keywords: shrinkage
zbMATH Keywords: variance stabilizing transform
zbMATH Keywords: weighted regression
zbMATH Keywords: robustness
zbMATH Keywords: adaptiveness
MaRDI profile type: Publication
OpenAlex ID: W1971289666
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description: scientific article; zbMATH DE number 2073163