To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("PANR")
In most cases, you don't need to download the package archive at all.
Bioconductor version: 3.2
This package provides S4 classes and methods for inferring functional gene networks with edges encoding posterior beliefs of gene association types and nodes encoding perturbation effects.
Author: Xin Wang <xin_wang at hms.harvard.edu>
Maintainer: Xin Wang <xin_wang at hms.harvard.edu>
Citation (from within R,
enter citation("PANR")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("PANR")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PANR")
Main vignette:Posterior association network and enriched functional gene modules inferred from rich phenotypes of gene perturbations | ||
Reference Manual | ||
Text | NEWS |
biocViews | CellBasedAssays, Clustering, GraphAndNetwork, NetworkInference, Software, Visualization |
Version | 1.16.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (4.5 years) |
License | Artistic-2.0 |
Depends | R (>= 2.14), igraph |
Imports | graphics, grDevices, MASS, methods, pvclust, stats, utils, RedeR |
LinkingTo | |
Suggests | snow |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | Mulder2012 |
Suggests Me | RedeR |
Build Report |
Follow Installation instructions to use this package in your R session.
Package Source | PANR_1.16.0.tar.gz |
Windows Binary | PANR_1.16.0.zip |
Mac OS X 10.6 (Snow Leopard) | PANR_1.16.0.tgz |
Mac OS X 10.9 (Mavericks) | PANR_1.16.0.tgz |
Subversion source | (username/password: readonly) |
Git source | https://github.com/Bioconductor-mirror/PANR/tree/release-3.2 |
Package Short Url | http://bioconductor.org/packages/PANR/ |
Package Downloads Report | Download Stats |
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