This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see PPInfer.
Bioconductor version: 3.15
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")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("PPInfer")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PPInfer")
R Script | User manual | |
Reference Manual | ||
Text | NEWS |
biocViews | GeneSetEnrichment, GraphAndNetwork, Network, NetworkEnrichment, Pathways, Software, StatisticalMethod |
Version | 1.22.0 |
In Bioconductor since | BioC 3.5 (R-3.4) (5.5 years) |
License | Artistic-2.0 |
Depends | biomaRt, fgsea, kernlab, ggplot2, igraph, STRINGdb, yeastExpData |
Imports | httr, grDevices, graphics, stats, utils |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | gsean |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | PPInfer_1.22.0.tar.gz |
Windows Binary | PPInfer_1.22.0.zip |
macOS Binary (x86_64) | PPInfer_1.22.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/PPInfer |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/PPInfer |
Package Short Url | https://bioconductor.org/packages/PPInfer/ |
Package Downloads Report | Download Stats |
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