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This is the development version of wppi; for the stable release version, see wppi.

Weighting protein-protein interactions

Bioconductor version: Development (3.20)

Protein-protein interaction data is essential for omics data analysis and modeling. Database knowledge is general, not specific for cell type, physiological condition or any other context determining which connections are functional and contribute to the signaling. Functional annotations such as Gene Ontology and Human Phenotype Ontology might help to evaluate the relevance of interactions. This package predicts functional relevance of protein-protein interactions based on functional annotations such as Human Protein Ontology and Gene Ontology, and prioritizes genes based on network topology, functional scores and a path search algorithm.

Author: Ana Galhoz [cre, aut] , Denes Turei [aut] , Michael P. Menden [aut] , Albert Krewinkel [ctb, cph] (pagebreak Lua filter)

Maintainer: Ana Galhoz <ana.galhoz at>

Citation (from within R, enter citation("wppi")):


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


Reference Manual PDF


biocViews Annotation, GeneSignaling, GeneTarget, GraphAndNetwork, Network, Pathways, Software, SystemsBiology, Transcriptomics
Version 1.13.0
In Bioconductor since BioC 3.13 (R-4.1) (3 years)
License MIT + file LICENSE
Depends R (>= 4.1)
Imports dplyr, igraph, logger, methods, magrittr, Matrix, OmnipathR(>= 2.99.8), progress, purrr, rlang, RCurl, stats, tibble, tidyr
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