To install this package, start R and enter:

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

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

qpgraph

   

This package is for version 2.10 of Bioconductor; for the stable, up-to-date release version, see qpgraph.

Reverse engineering of molecular regulatory networks with qp-graphs

Bioconductor version: 2.10

q-order partial correlation graphs, or qp-graphs for short, are undirected Gaussian graphical Markov models built from q-order partial correlations. They are useful for learning undirected graphical Gaussian Markov models from data sets where the number of random variables p exceeds the available sample size n as, for instance, in the case of microarray data where they can be employed to reverse engineer a molecular regulatory network.

Author: R. Castelo and A. Roverato

Maintainer: Robert Castelo <robert.castelo at upf.edu>

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

Installation

To install this package, start R and enter:

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

Documentation

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

browseVignettes("qpgraph")

 

PDF BasicUsersGuide.pdf
PDF Reverse-engineer transcriptional regulatory networks using qpgraph
PDF   Reference Manual
Text   NEWS

Details

biocViews Bioinformatics, GeneExpression, GraphsAndNetworks, Microarray, Pathways, Software, Transcription
Version 1.12.2
In Bioconductor since BioC 2.4 (R-2.9) (7 years)
License GPL (>= 2)
Depends R (>= 2.10), methods
Imports methods, annotate, Matrix, graph, Biobase, GGBase, AnnotationDbi
LinkingTo
Suggests Matrix, mvtnorm, graph, genefilter, Category, org.EcK12.eg.db, GOstats
SystemRequirements
Enhances rlecuyer, snow, Rgraphviz
URL http://functionalgenomics.upf.edu/qpgraph
Depends On Me
Imports Me
Suggests Me GSVA
Build Report  

Package Archives

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

Package Source qpgraph_1.12.2.tar.gz
Windows Binary qpgraph_1.12.2.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/qpgraph/tree/release-2.10
Package Short Url http://bioconductor.org/packages/qpgraph/
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:

Fred Hutchinson Cancer Research Center