Package: PPInfer
Type: Package
Title: Inferring functionally related proteins using protein
        interaction networks
Description: 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.
Version: 1.39.0
Date: 2022-11-17
Author: Dongmin Jung, Xijin Ge
Maintainer: Dongmin Jung <dmdmjung@gmail.com>
Depends: biomaRt, fgsea, kernlab, ggplot2, igraph, STRINGdb,
        yeastExpData
Imports: httr, grDevices, graphics, stats, utils
Suggests:
License: Artistic-2.0
biocViews: Software, StatisticalMethod, Network, GraphAndNetwork,
        GeneSetEnrichment, NetworkEnrichment, Pathways
NeedsCompilation: no
Config/pak/sysreqs: libglpk-dev libicu-dev libpng-dev libxml2-dev
        libssl-dev zlib1g-dev
Repository: https://bioc.r-universe.dev
Date/Publication: 2026-04-28 12:45:36 UTC
RemoteUrl: https://github.com/bioc/PPInfer
RemoteRef: HEAD
RemoteSha: ca558cf9db80c6f24c5462500314465c85e443da
Packaged: 2026-07-03 16:09:52 UTC; root