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. <doi:10.1093/bioinformatics/btt008>.
Package details |
|
---|---|
Author | Zuguang Gu [aut, cre] (<https://orcid.org/0000-0002-7395-8709>) |
Maintainer | Zuguang Gu <z.gu@dkfz.de> |
License | GPL (>= 2) |
Version | 0.8.1 |
URL | https://github.com/jokergoo/CePa |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.