hidelab/pcxn: Exploring, analyzing and visualizing functions utilizing the pcxnData package

Discover the correlated pathways/gene sets of a single pathway/gene set or discover correlation relationships among multiple pathways/gene sets. Draw a heatmap or create a network of your query and extract members of each pathway/gene set found in the available collections (MSigDB H hallmark, MSigDB C2 Canonical pathways, MSigDB C5 GO BP and Pathprint).

Getting started

Package details

AuthorSokratis Kariotis, Yered Pita-Juarez, Winston Hide, Wenbin Wei
Bioconductor views ExperimentData ExpressionData GEO Homo_sapiens_Data MicroarrayData OneChannelData PathwayInteractionDatabase
MaintainerSokratis Kariotis <[email protected]>
LicenseMIT + file LICENSE
Version2.0.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("hidelab/pcxn")
hidelab/pcxn documentation built on April 3, 2018, 6:29 p.m.