To install this package, start R and enter:
source("http://bioconductor.org/biocLite.R")
biocLite("PANR")
    In most cases, you don't need to download the package archive at all.
Bioconductor version: 2.13
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 cancer.org.uk>
Maintainer: Xin Wang <Xin.Wang at cancer.org.uk>
Citation (from within R,
      enter citation("PANR")):
To install this package, start R and enter:
source("http://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")
    
| fullPAN.pdf | ||
| R Script | Main vignette:Posterior association network and enriched functional gene modules inferred from rich phenotypes of gene perturbations | |
| pvmodule.pdf | ||
| sigmod.pdf | ||
| Reference Manual | ||
| Text | NEWS | 
| biocViews | CellBasedAssays, Clustering, GraphsAndNetworks, NetworkInference, NetworkVisualization, Software | 
| Version | 1.8.0 | 
| In Bioconductor since | BioC 2.9 (R-2.14) | 
| License | Artistic-2.0 | 
| Depends | R (>= 2.14), igraph | 
| Imports | graphics, grDevices, MASS, methods, pvclust, stats, utils | 
| Suggests | snow, RedeR | 
| System Requirements | |
| URL | |
| Depends On Me | |
| Imports Me | Mulder2012 | 
| Suggests Me | RedeR | 
Follow Installation instructions to use this package in your R session.
| Package Source | PANR_1.8.0.tar.gz | 
| Windows Binary | PANR_1.8.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | PANR_1.8.0.tgz | 
| Browse/checkout source | (username/password: readonly) | 
| Package Downloads Report | Download Stats | 
 
  
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