R/ebcoexpress: An empirical bayesian framework for discovering differential co-expression

John A. Dawson, Shuyun Ye, Christina Kendziorski

Research output: Contribution to journalArticle

34 Scopus citations

Abstract

R/EBcoexpress implements the approach of Dawson and Kendziorski using R, a freely available, open source statistical programming language. The approach identifies differential co-expression (DC) by examining the correlations among gene pairs using an empirical Bayesian approach, producing a false discovery rate controlled list of DC pairs. This interrogation of DC gene pairs complements but is distinct from differential expression analyses, under the general goal of understanding differential regulation across biological conditions.

Original languageEnglish
Article numberbts268
Pages (from-to)1939-1940
Number of pages2
JournalBioinformatics
Volume28
Issue number14
DOIs
StatePublished - Jul 2012

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