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PPInfer

Inferring functionally related proteins using protein interaction networks

Bioconductor version: 3.23 · Package version: 1.38.0

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.

Installation

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

BiocManager::install("PPInfer")

Details

MaintainerDongmin Jung <dmdmjung@gmail.com>
AuthorDongmin Jung, Xijin Ge
LicenseArtistic-2.0
Downloads rank468
Source branchRELEASE_3_23
biocViewsGeneSetEnrichment, GraphAndNetwork, Network, NetworkEnrichment, Pathways, Software, StatisticalMethod

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packagePPInfer_1.38.0.tar.gz
Windows binary (x86_64)PPInfer_1.38.0.zip
macOS binary (arm64)PPInfer_1.38.0.tgz
macOS binary (x86_64)PPInfer_1.38.0.tgz
Dependencies

Depends: biomaRt, fgsea, kernlab, ggplot2, igraph, STRINGdb, yeastExpData

Imports: httr, grDevices, graphics, stats, utils

Reverse dependencies

Depends On Me (1): gsean