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PPInfer

This is thereleased version of PPInfer; for the devel version, seePPInfer.

Inferring functionally related proteins using protein interaction networks

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DOI: 10.18129/B9.bioc.PPInfer


Bioconductor version: Release (3.22)

Interactions between proteins occur in many, if not most, biological processes. Most proteins perform their functions in networks associated with other proteins and other biomolecules. This fact has motivated the development of a variety of experimental methods for the identification of protein interactions. This variety has in turn ushered in the development of numerous different computational approaches for modeling and predicting protein interactions. Sometimes an experiment is aimed at identifying proteins closely related to some interesting proteins. A network based statistical learning method is used to infer the putative functions of proteins from the known functions of its neighboring proteins on a PPI network. This package identifies such proteins often involved in the same or similar biological functions.

Author: Dongmin Jung, Xijin Ge

Maintainer: Dongmin Jung <dmdmjung at gmail.com>

Citation (from within R, entercitation("PPInfer")):

Installation

To install this package, start R (version "4.5") and enter:

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

For older versions of R, please refer to the appropriateBioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("PPInfer")
User manualPDFR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsGeneSetEnrichment,GraphAndNetwork,Network,NetworkEnrichment,Pathways,Software,StatisticalMethod
Version1.36.0
In Bioconductor sinceBioC 3.5 (R-3.4) (8.5 years)
LicenseArtistic-2.0
DependsbiomaRt,fgsea,kernlab,ggplot2,igraph,STRINGdb,yeastExpData
Importshttr, grDevices, graphics, stats, utils
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Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackagePPInfer_1.36.0.tar.gz
Windows Binary (x86_64) PPInfer_1.36.0.zip
macOS Binary (x86_64)PPInfer_1.36.0.tgz
macOS Binary (arm64)PPInfer_1.36.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/PPInfer
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/PPInfer
Bioc Package Browserhttps://code.bioconductor.org/browse/PPInfer/
Package Short Urlhttps://bioconductor.org/packages/PPInfer/
Package Downloads ReportDownload Stats

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