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gep2pep

This is the development version of gep2pep; for the stable release version, see gep2pep.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7

Creation and Analysis of Pathway Expression Profiles (PEPs)

DOI: 10.18129/B9.bioc.gep2pep

Bioconductor version: Development (3.24)

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")):

Francesco Napolitano. gep2pep: Creation and Analysis of Pathway Expression Profiles (PEPs). doi:10.18129/B9.bioc.gep2pep, R package version 1.33.0, https://bioconductor.org/packages/gep2pep.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("gep2pep")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("gep2pep")

Details

Package Archives

Follow Installation instructions to use this package in your R session.