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LEANR  

Finds "Local Subnetworks" Within an Interaction Network which Show Enrichment for Differentially Expressed Genes
View on CRAN: Click here


Download and install LEANR package within the R console
Install from CRAN:
install.packages("LEANR")

Install from Github:
library("remotes")
install_github("cran/LEANR")

Install by package version:
library("remotes")
install_version("LEANR", "1.4.9")



Attach the package and use:
library("LEANR")
Maintained by
Frederik Gwinner
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-11-12
Latest Update: 2016-11-12
Description:
Implements the method described in "Network-based analysis of omics data: The LEAN method" [Gwinner Boulday (2016) ] 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.
How to cite:
Frederik Gwinner (2016). LEANR: Finds "Local Subnetworks" Within an Interaction Network which Show Enrichment for Differentially Expressed Genes. R package version 1.4.9, https://cran.r-project.org/web/packages/LEANR
Previous versions and publish date:
1.4.9 (2016-11-12 15:47)
Other packages that cited LEANR R package
View LEANR citation profile
Other R packages that LEANR depends, imports, suggests or enhances
Functions, R codes and Examples using the LEANR R package
Some associated functions: CCM.pvals . LEANR-package . g2 . g_red . gene.annots . gene.list.scores . get.ls.info . pvals_red . run.lean . subnet.simulation . write.ls.to.sif . 
Some associated R codes: leanr_method.R .  Full LEANR package functions and examples
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