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

DOI: 10.18129/B9.bioc.qpgraph

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

Bioconductor version: Release (3.5)

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

Version 2.10.2
In Bioconductor since BioC 2.4 (R-2.9) (8.5 years)
License GPL (>= 2)
Depends R (>= 3.0.0)
LinkingTo
SystemRequirements
Enhances
Depends On Me
Imports Me clipper, ToPASeq
Suggests Me

Package Archives

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

Source Package qpgraph_2.10.2.tar.gz
Windows Binary qpgraph_2.10.2.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) qpgraph_2.10.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/qpgraph
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