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PANR

This is the development version of PANR; for the stable release version, see PANR.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13, 2.12, 2.11, 2.10, 2.9

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


Bioconductor version: Development (3.24)

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")):

Xin Wang. PANR: Posterior association networks and functional modules inferred from rich phenotypes of gene perturbations. doi:10.18129/B9.bioc.PANR, R package version 1.59.0, https://bioconductor.org/packages/PANR.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

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 ManualPDF
NEWSText

Details

biocViews CellBasedAssays, Clustering, GraphAndNetwork, ImmunoOncology, NetworkInference, Software, Visualization
Version1.59.0
In Bioconductor sinceBioC 2.9 (R-2.14) (15 years)
License Artistic-2.0
Depends R (>= 2.14), igraph
Imports graphics, grDevices, MASS, methods, pvclust, stats, utils, RedeR
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Package Archives

Follow Installation instructions to use this package in your R session.

Source Package PANR_1.59.0.tar.gz
Windows Binary (x86_64) PANR_1.59.0.zip
macOS Binary (big-sur-x86_64) PANR_1.59.0.tgz
macOS Binary (sonoma-arm64) PANR_1.59.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/PANR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/PANR
Package Short Url https://bioconductor.org/packages/PANR/
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