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Error estimates for the analysis of differential expression fromRNA-seq count data

Burden, Conrad; Qureshi, Sumaira; Wilson, Susan


Background: A number of algorithms exist for analysing RNA-sequencing data to infer profiles of differential gene expression. Problems inherent in building algorithms around statistical models of over dispersed count data are formidable and frequently lead to non-uniform p-value distributions for null-hypothesis data and to inaccurate estimates of false discovery rates (FDRs). This can lead to an inaccurate measure of significance and loss of power to detect differential expression. Results: We...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Journal article
Source: PeerJ
DOI: 10.7717/peerj.576
Access Rights: Open Access


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