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CePa
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", "0.8.0")
Attach the package and use:
library("CePa")
Maintained by
Zuguang Gu
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2012-04-28
Latest Update: 2022-06-11
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 0.8.0, https://cran.r-project.org/web/packages/CePa
Previous versions and publish date:
Other packages that cited CePa R package
View CePa citation profile
Other R packages that CePa depends,
imports, suggests or enhances
Functions, R codes and Examples using
the CePa R package
Some associated functions: CePa-package . PID.db . cepa.all . cepa.all.parallel . cepa . cepa.ora.all . cepa.ora . cepa.univariate.all . cepa.univariate . gene.list . generate.pathway . get.cepa . p.table . pathway.nodes . plot.cepa.all . plot.cepa . plot.pathway.catalogue . plotGraph . plotNull . print.cepa.all . print.cepa . print.pathway.catalogue . radiality . reach . read.cls . read.gct . report . sampleLabel . set.pathway.catalogue . spread .
Some associated R codes: centrality.R . cepa.all.R . data.R . expression.R . get_result.R . global_variable.R . ora_extension.R . overview.R . pathway.R . plot_print.R . report.R . univariate_extension.R . Full CePa package functions and examples
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