To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PPInfer")

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PPInfer

DOI: 10.18129/B9.bioc.PPInfer    

Inferring functionally related proteins using protein interaction networks

Bioconductor version: Release (3.6)

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, enter citation("PPInfer")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PPInfer")

Documentation

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

browseVignettes("PPInfer")

 

PDF R Script User manual
PDF   Reference Manual
Text   NEWS

Details

biocViews GeneSetEnrichment, GraphAndNetwork, Network, NetworkEnrichment, Pathways, Software, StatisticalMethod
Version 1.5.0
In Bioconductor since BioC 3.5 (R-3.4) (0.5 years)
License Artistic-2.0
Depends biomaRt, fgsea, kernlab, ggplot2, igraph, STRINGdb, yeastExpData
Imports
LinkingTo
Suggests testthat
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package PPInfer_1.5.0.tar.gz
Windows Binary PPInfer_1.5.0.zip
Mac OS X 10.11 (El Capitan) PPInfer_1.5.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/PPInfer
Package Short Url http://bioconductor.org/packages/PPInfer/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.6 Source Archive

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