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gep2pep

Creation and Analysis of Pathway Expression Profiles (PEPs)

Bioconductor version: 3.24 · Package version: 1.33.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("gep2pep")

Details

MaintainerFrancesco Napolitano <franapoli@gmail.com>
AuthorFrancesco Napolitano <franapoli@gmail.com>
LicenseGPL-3
Downloads rank373
Source branchdevel
biocViewsDifferentialExpression, DimensionReduction, GO, GeneExpression, GeneSetEnrichment, Pathways, Software

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagegep2pep_1.33.0.tar.gz
Windows binary (x86_64)gep2pep_1.33.0.zip
macOS binary (arm64)gep2pep_1.33.0.tgz
macOS binary (x86_64)gep2pep_1.33.0.tgz
Dependencies

Imports: repo (>= 2.1.1), foreach, stats, utils, GSEABase, methods, Biobase, XML, rhdf5, digest, iterators

Suggests: WriteXLS, testthat, knitr, rmarkdown