To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("ProCoNA")

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

ProCoNA

 

Protein co-expression network analysis (ProCoNA).

Bioconductor version: Release (3.1)

Protein co-expression network construction using peptide level data, with statisical analysis. (Journal of Clinical Bioinformatics 2013, 3:11 doi:10.1186/2043-9113-3-11)

Author: David L Gibbs

Maintainer: David L Gibbs <gibbsd at ohsu.edu>

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

Installation

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("ProCoNA")

Documentation

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

browseVignettes("ProCoNA")

 

PDF R Script De Novo Peptide Network Example
PDF   Reference Manual
Text   README
Text   NEWS

Details

biocViews GraphAndNetwork, Proteomics, Software
Version 1.6.0
In Bioconductor since BioC 2.13 (R-3.0) (2 years)
License GPL (>= 2)
Depends R (>= 2.10), methods, WGCNA, MSnbase, flashClust
Imports BiocGenerics, GOstats
LinkingTo
Suggests RUnit
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.

Package Source ProCoNA_1.6.0.tar.gz
Windows Binary ProCoNA_1.6.0.zip
Mac OS X 10.6 (Snow Leopard) ProCoNA_1.6.0.tgz
Mac OS X 10.9 (Mavericks) ProCoNA_1.6.0.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/ProCoNA/tree/release-3.1
Package Short Url http://bioconductor.org/packages/ProCoNA/
Package Downloads Report Download Stats

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