Enrichment Analysis Utilizing Active Subnetworks

Enrichment analysis enables researchers to uncover mechanisms underlying a phenotype. However, conventional methods for enrichment analysis do not take into account protein-protein interaction information, resulting in incomplete conclusions. 'pathfindR' is a tool for enrichment analysis utilizing active subnetworks. The main function identifies active subnetworks in a protein-protein interaction network using a user-provided list of genes and associated p values. It then performs enrichment analyses on the identified subnetworks, identifying enriched terms (i.e. pathways or, more broadly, gene sets) that possibly underlie the phenotype of interest. 'pathfindR' also offers functionalities to cluster the enriched terms and identify representative terms in each cluster, to score the enriched terms per sample and to visualize analysis results. The enrichment, clustering and other methods implemented in 'pathfindR' are described in detail in Ulgen E, Ozisik O, Sezerman OU. 2019. 'pathfindR': An R Package for Comprehensive Identification of Enriched Pathways in Omics Data Through Active Subnetworks. Front. Genet. .


Reference manual

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install.packages("pathfindR")

3.0.2 by Ege Ulgen, 3 months ago


https://egeulgen.github.io/pathfindR/, https://github.com/egeulgen/pathfindR


Report a bug at https://github.com/egeulgen/pathfindR/issues


Browse source code at https://github.com/cran/pathfindR


Authors: Ege Ulgen [cre, cph] , Ozan Ozisik [aut]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports DBI, AnnotationDbi, doParallel, foreach, rmarkdown, ggplot2, ggraph, ggupset, ggnewscale, fpc, ggkegg, grDevices, httr, igraph, R.utils, msigdbr, knitr, Rcpp

Depends on pathfindR.data

Suggests org.Hs.eg.db, testthat, covr, mockery

Linking to Rcpp


See at CRAN