normES

a SeqGeneSet object after running <code><a rd-options="" href="/link/calES?package=SeqGSEA&version=1.12.0" data-mini-rdoc="SeqGSEA::calES">calES</a></code> and <code><a rd-options="" href="/link/calES.perm?package=SeqGSEA&version=1.12.0" data-mini-rdoc="SeqGSEA::calES.perm">calES.perm</a></code>. 

gene.set


This is an internal function to normalize enrichment scores. For advanced users only.


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

normES function

a SeqGeneSet object after running <code><a href="calES" rd-options="">calES</a></code> and <code><a href="calES.perm" rd-options="">calES.perm</a></code>.

This is an internal function to normalize enrichment scores. For advanced users only.

normES: Normalize enrichment scores

Description

Usage

Arguments

Value

See Also