Bioconductor version: Release (2.12)
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>
To install this package, start R and enter:
    source("http://bioconductor.org/biocLite.R")
    biocLite("PANR")
    To cite this package in a publication, start R and enter:
    citation("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 | 1.6.0 | 
| 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 | 
| Package Source | PANR_1.6.0.tar.gz | 
| Windows Binary | PANR_1.6.0.zip (32- & 64-bit) | 
| Mac OS X 10.6 (Snow Leopard) | PANR_1.6.0.tgz | 
| Package Downloads Report | Download Stats | 
 
  
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