To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("pcxn")

In most cases, you don't need to download the package archive at all.

pcxn

DOI: 10.18129/B9.bioc.pcxn    

Exploring, analyzing and visualizing functions utilizing the pcxnData package

Bioconductor version: Release (3.6)

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).

Author: Sokratis Kariotis, Yered Pita-Juarez, Winston Hide, Wenbin Wei

Maintainer: Sokratis Kariotis <s.kariotis at sheffield.ac.uk>

Citation (from within R, enter citation("pcxn")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("pcxn")

Documentation

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

browseVignettes("pcxn")

 

PDF R Script pcxn
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews ExperimentData, ExpressionData, GEO, Homo_sapiens_Data, MicroarrayData, OneChannelData, PathwayInteractionDatabase, Software
Version 1.0.0
License MIT + file LICENSE
Depends R (>= 3.4), pcxnData
Imports methods, grDevices, utils, pheatmap
LinkingTo
Suggests igraph, annotate, org.Hs.eg.db
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me pcxnData
Build Report  

Package Archives

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

Source Package pcxn_1.0.0.tar.gz
Windows Binary pcxn_1.0.0.zip
Mac OS X 10.11 (El Capitan) pcxn_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/pcxn
Package Short Url http://bioconductor.org/packages/pcxn/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: