This is the development version of PANR; for the stable release version, see PANR.
Posterior association networks and functional modules inferred from rich phenotypes of gene perturbationsBioconductor version: Development (3.22)
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, entercitation("PANR")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("PANR")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo 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 1.55.0 In Bioconductor since BioC 2.9 (R-2.14) (13.5 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.
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