This is the released version of gep2pep; for the devel version, see gep2pep.
Creation and Analysis of Pathway Expression Profiles (PEPs)Bioconductor version: Release (3.21)
Pathway Expression Profiles (PEPs) are based on the expression of pathways (defined as sets of genes) as opposed to individual genes. This package converts gene expression profiles to PEPs and performs enrichment analysis of both pathways and experimental conditions, such as "drug set enrichment analysis" and "gene2drug" drug discovery analysis respectively.
Author: Francesco Napolitano <franapoli at gmail.com>
Maintainer: Francesco Napolitano <franapoli at gmail.com>
Citation (from within R, entercitation("gep2pep")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("gep2pep")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("gep2pep")
Details biocViews DifferentialExpression, DimensionReduction, GO, GeneExpression, GeneSetEnrichment, Pathways, Software Version 1.28.0 In Bioconductor since BioC 3.7 (R-3.5) (7 years) License GPL-3 Depends Imports repo (>= 2.1.1), foreach, stats, utils, GSEABase, methods, Biobase, XML, rhdf5, digest, iterators System Requirements URL See More Package Archives
Follow Installation instructions to use this package in your R session.
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