Package: iGSEA 1.2
iGSEA: Integrative Gene Set Enrichment Analysis Approaches
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.
Authors:
iGSEA_1.2.tar.gz
iGSEA_1.2.zip(r-4.5)iGSEA_1.2.zip(r-4.4)iGSEA_1.2.zip(r-4.3)
iGSEA_1.2.tgz(r-4.4-any)iGSEA_1.2.tgz(r-4.3-any)
iGSEA_1.2.tar.gz(r-4.5-noble)iGSEA_1.2.tar.gz(r-4.4-noble)
iGSEA_1.2.tgz(r-4.4-emscripten)iGSEA_1.2.tgz(r-4.3-emscripten)
iGSEA.pdf |iGSEA.html✨
iGSEA/json (API)
# Install 'iGSEA' in R: |
install.packages('iGSEA', repos = c('https://luwt.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:5a4150b820. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | OK | Nov 17 2024 |
R-4.5-linux | OK | Nov 17 2024 |
R-4.4-win | OK | Nov 17 2024 |
R-4.4-mac | OK | Nov 17 2024 |
R-4.3-win | OK | Nov 17 2024 |
R-4.3-mac | OK | Nov 17 2024 |
Exports:igsea.test
Dependencies:
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Integrative GSEA Approaches | iGSEA igsea.test |