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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 2.9 of Bioconductor; for the stable, up-to-date release version, see qpgraph.
Reverse engineering of molecular regulatory networks with qp-graphs
Bioconductor version: 2.9
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")
| BasicUsersGuide.pdf | ||
| qpTxRegNet.pdf | ||
| Reference Manual |
Details
| biocViews | Bioinformatics, GeneExpression, GraphsAndNetworks, Microarray, Pathways, Software, Transcription |
| Version | 1.10.1 |
| In Bioconductor since | BioC 2.4 (R-2.9) (7 years) |
| License | GPL (>= 2) |
| Depends | methods |
| Imports | methods, annotate, Matrix, graph, Biobase, 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_1.10.1.tar.gz |
| Windows Binary | qpgraph_1.10.1.zip (32- & 64-bit) |
| Mac OS X 10.6 (Snow Leopard) | |
| Mac OS X 10.9 (Mavericks) | |
| Subversion source | (username/password: readonly) |
| Git source | https://github.com/Bioconductor-mirror/qpgraph/tree/release-2.9 |
| Package Short Url | http://bioconductor.org/packages/qpgraph/ |
| Package Downloads Report | Download Stats |
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