PANR
This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see PANR.
Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations
Bioconductor version: 3.10
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")):
Installation
To install this package, start R (version "3.6") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("PANR")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
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
PDF
R Script
Reference Manual
PDF
NEWS
Text
Details
biocViews
CellBasedAssays, Clustering, GraphAndNetwork, ImmunoOncology, NetworkInference, Software, Visualization
Version
1.32.0
In Bioconductor since
BioC 2.9 (R-2.14) (12.5 years)
License
Artistic-2.0
Depends
R (>= 2.14), igraph
Imports
graphics, grDevices, MASS, methods, pvclust, stats, utils, RedeR
System Requirements
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Mulder2012
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Build Report
Build Report
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package
PANR_1.32.0.tar.gz
Windows Binary
PANR_1.32.0.zip
Mac OS X 10.11 (El Capitan)
PANR_1.32.0.tgz
Source Repository
git clone https://git.bioconductor.org/packages/PANR
Source Repository (Developer Access)
git clone git@git.bioconductor.org:packages/PANR
Bioc Package Browser
https://code.bioconductor.org/browse/PANR/
Package Short Url
https://bioconductor.org/packages/PANR/
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Old Source Packages for BioC 3.10
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