This function provides a wrapper to run DESeq for differential expression analysis. It includes two steps,
a matrix containing read counts for each gene, can be the output of
the sample classification labels.
A CountDataSet object with size factors and dispersion parameters been estimated.
Xi Wang, [email protected]
Anders, S. and Huber, W. (2010) Differential expression analysis for sequence count data, Genome Biol, 11, R106.
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