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Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations

Bioconductor version: Release (3.18)

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")):


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if (!require("BiocManager", quietly = TRUE))


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Main vignette:Posterior association network and enriched functional gene modules inferred from rich phenotypes of gene perturbations PDF R Script
Reference Manual PDF


biocViews CellBasedAssays, Clustering, GraphAndNetwork, ImmunoOncology, NetworkInference, Software, Visualization
Version 1.48.0
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
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Follow Installation instructions to use this package in your R session.

Source Package PANR_1.48.0.tar.gz
Windows Binary PANR_1.48.0.zip (64-bit only)
macOS Binary (x86_64) PANR_1.48.0.tgz
macOS Binary (arm64) PANR_1.48.0.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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