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CePa  

Centrality-Based Pathway Enrichment
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("CePa", "0.8.1")



Attach the package and use:
library("CePa")
Maintained by
Zuguang Gu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-04-28
Latest Update: 2024-10-08
Description:
It aims to find significant pathways through network topology information. It has several advantages compared with current pathway enrichment tools. First, pathway node instead of single gene is taken as the basic unit when analysing networks to meet the fact that genes must be constructed into complexes to hold normal functions. Second, multiple network centrality measures are applied simultaneously to measure importance of nodes from different aspects to make a full view on the biological system. CePa extends standard pathway enrichment methods, which include both over-representation analysis procedure and gene-set analysis procedure. .
How to cite:
Zuguang Gu (2012). CePa: Centrality-Based Pathway Enrichment. R package version 0.8.1, https://cran.r-project.org/web/packages/CePa. Accessed 16 Jul. 2026.
Previous versions and publish date:
0.1 (2012-04-28 08:24), 0.2 (2012-06-11 10:51), 0.3 (2012-06-29 17:51), 0.4 (2012-08-05 10:32), 0.5 (2012-09-11 10:35), 0.6 (2018-06-04 21:40), 0.7.0 (2020-02-25 14:10), 0.8.0 (2022-06-11 23:30), 0.8.1 (2024-10-08 12:10), (2026-07-09 08:00)
Other packages that cited CePa R package
View CePa citation profile
Other R packages that CePa depends, imports, suggests or enhances
Complete documentation for CePa
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