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The package generally provides methods for gene set enrichment analysis of highthroughput RNASeq data by integrating differential expression and splicing. It uses negative binomial distribution to model read count data, which accounts for sequencing biases and biological variation. Based on permutation tests, statistical significance can also be achieved regarding each gene's differential expression and splicing, respectively.
Package details 


Author  Xi Wang <Xi.Wang@newcastle.edu.au> 
Bioconductor views  DifferentialExpression DifferentialSplicing GeneExpression GeneSetEnrichment ImmunoOncology RNASeq Sequencing 
Maintainer  Xi Wang <Xi.Wang@dkfz.de> 
License  GPL (>= 3) 
Version  1.30.0 
Package repository  View on Bioconductor 
Installation 
Install the latest version of this package by entering the following in R:

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