fgwinner/LEANR: Finds "Local Subnetworks" Within an Interaction Network which Show Enrichment for Differentially Expressed Genes

Implements the method described in "Network-based analysis of omics data: The LEAN method" [Gwinner Boulday (2016) <DOI:10.1093/bioinformatics/btw676>] Given a protein interaction network and a list of p-values describing a measure of interest (as e.g. differential gene expression) this method computes an enrichment p-value for the protein neighborhood of each gene and compares it to a background distribution of randomly drawn p-values. The resulting scores are corrected for multiple testing and significant hits are returned in tabular format.

Getting started

Package details

AuthorFrederik Gwinner
MaintainerFrederik Gwinner <frederik.gwinner@gmail.com>
LicenseGPL-3
Version1.4.8
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("fgwinner/LEANR")
fgwinner/LEANR documentation built on May 16, 2019, 12:51 p.m.