The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

pathfindR: 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. <doi:10.3389/fgene.2019.00858>.

Version: 2.4.1
Depends: R (≥ 4.0), pathfindR.data (≥ 2.0)
Imports: DBI, AnnotationDbi, doParallel, foreach, rmarkdown, org.Hs.eg.db, ggplot2, ggraph, ggupset, fpc, ggkegg, grDevices, httr, igraph, R.utils, msigdbr, knitr
Suggests: testthat (≥ 2.3.2), covr, mockery
Published: 2024-05-04
Author: Ege Ulgen ORCID iD [cre, cph], Ozan Ozisik ORCID iD [aut]
Maintainer: Ege Ulgen <egeulgen at gmail.com>
BugReports: https://github.com/egeulgen/pathfindR/issues
License: MIT + file LICENSE
URL: https://egeulgen.github.io/pathfindR/, https://github.com/egeulgen/pathfindR
NeedsCompilation: no
SystemRequirements: Java (>= 8.0)
Citation: pathfindR citation info
Materials: NEWS
In views: Omics
CRAN checks: pathfindR results

Documentation:

Reference manual: pathfindR.pdf
Vignettes: Comparing Two pathfindR Results
Introduction to pathfindR
Step-by-Step Execution of the pathfindR Enrichment Workflow
pathfindR Analysis for non-Homo-sapiens organisms
Obtaining PIN and Gene Sets Data
Visualization of pathfindR Enrichment Results

Downloads:

Package source: pathfindR_2.4.1.tar.gz
Windows binaries: r-devel: pathfindR_2.4.1.zip, r-release: pathfindR_2.4.1.zip, r-oldrel: pathfindR_2.4.1.zip
macOS binaries: r-release (arm64): pathfindR_2.3.1.tgz, r-oldrel (arm64): pathfindR_2.3.1.tgz, r-release (x86_64): pathfindR_2.3.1.tgz, r-oldrel (x86_64): pathfindR_2.3.1.tgz
Old sources: pathfindR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=pathfindR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.