Differential exon usage test for RNASeq data via an empirical Bayes shrinkage method for the dispersion parameter the utilizes inclusionexclusion data to analyze the propensity to skip an exon across groups. The input data consists of two matrices where each row represents an exon and the columns represent the biological samples. The first matrix is the count of the number of reads expressing the exon for each sample. The second matrix is the count of the number of reads that either express the exon or explicitly skip the exon across the samples, a.k.a. the total count matrix. Dividing the two matrices yields proportions representing the propensity to express the exon versus skipping the exon for each sample.
Package details 


Author  Sean Ruddy 
Date of publication  20150904 09:25:45 
Maintainer  Sean Ruddy <s.ruddy@yahoo.com> 
License  GPL3 
Version  1.1 
Package repository  View on CRAN 
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