To install this package, start R and enter:

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

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

PCAN

DOI: 10.18129/B9.bioc.PCAN    

Phenotype Consensus ANalysis (PCAN)

Bioconductor version: Release (3.6)

Phenotypes comparison based on a pathway consensus approach. Assess the relationship between candidate genes and a set of phenotypes based on additional genes related to the candidate (e.g. Pathways or network neighbors).

Author: Matthew Page and Patrice Godard

Maintainer: Matthew Page <matthew.page at ucb.com> and Patrice Godard <patrice.godard at gmail.com>

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

Installation

To install this package, start R and enter:

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

Documentation

HTML R Script Assessing gene relevance for a set of phenotypes
PDF   Reference Manual

Details

biocViews Annotation, FunctionalPrediction, Genetics, Network, Pathways, Sequencing, Software, VariantAnnotation
Version 1.6.0
In Bioconductor since BioC 3.3 (R-3.3) (1.5 years)
License CC BY-NC-ND 4.0
Depends R (>= 3.3), BiocParallel
Imports grDevices, stats
LinkingTo
Suggests BiocStyle, knitr, rmarkdown, reactome.db, STRINGdb
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package PCAN_1.6.0.tar.gz
Windows Binary PCAN_1.6.0.zip
Mac OS X 10.11 (El Capitan) PCAN_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/PCAN
Package Short Url http://bioconductor.org/packages/PCAN/
Package Downloads Report Download Stats

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