This package is for version 3.17 of Bioconductor; for the stable, up-to-date release version, see gep2pep.
Bioconductor version: 3.17
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,
enter citation("gep2pep")
):
To install this package, start R (version "4.3") 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.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("gep2pep")
HTML | R Script | Introduction to gep2pep |
Reference Manual | ||
Text | NEWS |
biocViews | DifferentialExpression, DimensionReduction, GO, GeneExpression, GeneSetEnrichment, Pathways, Software |
Version | 1.20.0 |
In Bioconductor since | BioC 3.7 (R-3.5) (5.5 years) |
License | GPL-3 |
Depends | |
Imports | repo (>= 2.1.1), foreach, stats, utils, GSEABase, methods, Biobase, XML, rhdf5, digest, iterators |
LinkingTo | |
Suggests | WriteXLS, testthat, knitr, rmarkdown |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | gep2pep_1.20.0.tar.gz |
Windows Binary | gep2pep_1.20.0.zip |
macOS Binary (x86_64) | gep2pep_1.20.0.tgz |
macOS Binary (arm64) | gep2pep_1.20.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/gep2pep |
Source Repository (Developer Access) | git clone [email protected]:packages/gep2pep |
Bioc Package Browser | https://code.bioconductor.org/browse/gep2pep/ |
Package Short Url | https://bioconductor.org/packages/gep2pep/ |
Package Downloads Report | Download Stats |
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