To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("qpgraph")

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

qpgraph

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

Bioconductor version: Release (3.0)

Procedures to estimate gene and eQTL networks from high-throughput expression and genotyping assays.

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:

source("http://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 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 2.0.0
In Bioconductor since BioC 2.4 (R-2.9)
License GPL (>= 2)
Depends R (>= 3.0.0)
Imports methods, parallel, Matrix (>= 1.0), grid, annotate, graph(>= 1.41.2), Biobase, S4Vectors, BiocParallel, AnnotationDbi, IRanges, GenomeInfoDb, GenomicRanges, GenomicFeatures, mvtnorm, qtl, Rgraphviz
Suggests RUnit, BiocGenerics, BiocStyle, genefilter, org.EcK12.eg.db, rlecuyer, snow, Category, GOstats
System Requirements
URL http://functionalgenomics.upf.edu/qpgraph
Depends On Me
Imports Me clipper
Suggests Me

Package Archives

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

Package Source qpgraph_2.0.0.tar.gz
Windows Binary qpgraph_2.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) qpgraph_2.0.0.tgz
Mac OS X 10.9 (Mavericks) qpgraph_2.0.0.tgz
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