Original paper
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Abstract
In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions...
Paper Details
Title
Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Published Date
Dec 1, 2014
Journal
Volume
15
Issue
12
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Notes
History