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pathfindR  

Enrichment Analysis Utilizing Active Subnetworks
View on CRAN: Click here


Download and install pathfindR package within the R console
Install from CRAN:
install.packages("pathfindR")

Install from Github:
library("remotes")
install_github("cran/pathfindR")

Install by package version:
library("remotes")
install_version("pathfindR", "2.4.1")



Attach the package and use:
library("pathfindR")
Maintained by
Ege Ulgen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-03-09
Latest Update: 2024-01-19
Description:
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. .
How to cite:
Ege Ulgen (2018). pathfindR: Enrichment Analysis Utilizing Active Subnetworks. R package version 2.4.1, https://cran.r-project.org/web/packages/pathfindR. Accessed 03 Dec. 2024.
Previous versions and publish date:
1.0.0 (2018-03-09 13:18), 1.1.0 (2018-05-15 00:43), 1.2.0 (2018-06-10 15:24), 1.2.1 (2018-08-18 00:10), 1.2.2 (2018-10-05 01:00), 1.2.3 (2018-10-26 16:40), 1.3.0 (2018-11-20 12:10), 1.4.0 (2019-11-08 12:40), 1.4.1 (2019-11-15 12:10), 1.4.2 (2019-12-06 12:30), 1.5.0 (2020-06-07 02:00), 1.5.1 (2020-09-20 20:00), 1.6.0 (2020-11-21 14:50), 1.6.1 (2021-01-04 20:40), 1.6.2 (2021-08-21 15:20), 1.6.3 (2021-11-15 10:20), 1.6.4 (2022-08-25 14:30), 2.0.0 (2023-05-06 06:20), 2.0.1 (2023-05-10 09:40), 2.1.0 (2023-05-12 09:10), 2.2.0 (2023-08-21 02:40), 2.3.0 (2023-10-08 22:30), 2.3.1 (2024-01-19 20:10), 2.4.0 (2024-04-28 13:50)
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