DENBStat4GSEA

A CountDataSet object with size factors and dispersion parameters estimated. Recommended to take the output of <code><a rd-options="" href="/link/runDESeq?package=SeqGSEA&version=1.12.0" data-mini-rdoc="SeqGSEA::runDESeq">runDESeq</a></code>. 


Calculate NB-statistics quantifying differential expression between two groups of samples compared. 
The results will be used for GSEA run. Comparing with <code><a rd-options="" href="/link/DENBTest?package=SeqGSEA&version=1.12.0" data-mini-rdoc="SeqGSEA::DENBTest">DENBTest</a></code>, this function will not 
calculate NB test p-values. <p></p><p>This function only works with two-group comparison. 
</p>

The package generally provides methods for gene set
enrichment analysis of high-throughput RNA-Seq 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.

Xi Wang

SeqGSEA

Gene Set Enrichment Analysis (GSEA) of RNA-Seq Data: integrating
differential expression and splicing

DENBStat4GSEA function

A CountDataSet object with size factors and dispersion parameters estimated. Recommended to take the output of <code><a href="runDESeq" rd-options="">runDESeq</a></code>.

Calculate NB-statistics quantifying differential expression between two groups of samples compared. 
The results will be used for GSEA run. Comparing with <code><a href="DENBTest" rd-options="">DENBTest</a></code>, this function will not 
calculate NB test p-values. 

This function only works with two-group comparison.

DENBStat4GSEA: Calculate NB-statistics quantifying differential expression for each gene

Description

Usage

Arguments

Value

References

See Also

Examples