PANR
Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations
Bioconductor version: Release (3.19)
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 "4.4") 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 | R Script | |
Reference Manual | ||
NEWS | Text |
Details
biocViews | CellBasedAssays, Clustering, GraphAndNetwork, ImmunoOncology, NetworkInference, Software, Visualization |
Version | 1.50.0 |
In Bioconductor since | BioC 2.9 (R-2.14) (13 years) |
License | Artistic-2.0 |
Depends | R (>= 2.14), igraph |
Imports | graphics, grDevices, MASS, methods, pvclust, stats, utils, RedeR |
System Requirements | |
URL |
See More
Suggests | snow |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | PANR_1.50.0.tar.gz |
Windows Binary | PANR_1.50.0.zip (64-bit only) |
macOS Binary (x86_64) | PANR_1.50.0.tgz |
macOS Binary (arm64) | PANR_1.50.0.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/ |
Package Downloads Report | Download Stats |