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 3.4 of Bioconductor; for the stable, up-to-date release version, see qpgraph.

Estimation of genetic and molecular regulatory networks from high-throughput genomics data

Bioconductor version: 3.4

Estimate gene and eQTL networks from high-throughput expression and genotyping assays.

Author: Robert Castelo [aut, cre], Alberto Roverato [aut]

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 R Script Estimate eQTL networks using qpgraph
PDF R Script Reverse-engineer transcriptional regulatory networks using qpgraph
PDF R Script Simulating molecular regulatory networks using qpgraph
PDF Reference Manual
Text NEWS

Details

biocViews GeneExpression, GeneRegulation, GeneticVariability, Genetics, GraphAndNetwork, Microarray, NetworkInference, Pathways, SNP, Software, Transcription
Version 2.8.3
In Bioconductor since BioC 2.4 (R-2.9) (8 years)
License GPL (>= 2)
Depends R (>= 3.0.0)
Imports methods, parallel, Matrix (>= 1.0), grid, annotate, graph(>= 1.45.1), Biobase, S4Vectors, BiocParallel, AnnotationDbi, IRanges, GenomeInfoDb, GenomicRanges, GenomicFeatures, mvtnorm, qtl, Rgraphviz
LinkingTo
Suggests RUnit, BiocGenerics, BiocStyle, genefilter, org.EcK12.eg.db, rlecuyer, snow, Category, GOstats
SystemRequirements
Enhances
URL http://functionalgenomics.upf.edu/qpgraph
Depends On Me
Imports Me clipper, ToPASeq
Suggests Me
Build Report

Package Archives

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

Package Source qpgraph_2.8.3.tar.gz
Windows Binary qpgraph_2.8.3.zip (32- & 64-bit)
Mac OS X 10.9 (Mavericks) qpgraph_2.8.3.tgz
Subversion source (username/password: readonly)
Git source https://github.com/Bioconductor-mirror/qpgraph/tree/release-3.4
Package Short Url http://bioconductor.org/packages/qpgraph/
Package Downloads Report Download Stats

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