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iGSEA  

Integrative Gene Set Enrichment Analysis Approaches
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("iGSEA", "1.2")



Attach the package and use:
library("iGSEA")
Maintained by
Wentao Lu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-05-12
Latest Update: 2017-05-12
Description:
To integrate multiple GSEA studies, we propose a hybrid strategy, iGSEA-AT, for choosing random effects (RE) versus fixed effect (FE) models, with an attempt to achieve the potential maximum statistical efficiency as well as stability in performance in various practical situations. In addition to iGSEA-AT, this package also provides options to perform integrative GSEA with testing based on a FE model (iGSEA-FE) and testing based on a RE model (iGSEA-RE). The approaches account for different set sizes when testing a database of gene sets. The function is easy to use, and the three approaches can be applied to both binary and continuous phenotypes.
How to cite:
Wentao Lu (2017). iGSEA: Integrative Gene Set Enrichment Analysis Approaches. R package version 1.2, https://cran.r-project.org/web/packages/iGSEA. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that iGSEA depends, imports, suggests or enhances
Complete documentation for iGSEA
Functions, R codes and Examples using the iGSEA R package
Some associated functions: iGSEA-package . 
Some associated R codes: igsea.test.R .  Full iGSEA package functions and examples
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