ssdGSA: Single Sample Directional Gene Set Analysis
A method that inherits the standard gene set variation analysis (GSVA) method and also provides the option to use summary statistics from any analysis (disease vs healthy, lesional side vs nonlesional side, etc..) input to define the direction of gene sets used for directional gene set score calculation for a given disease.
Hanzelmann, S., Castelo, R., and Guinney, J. (2013) <doi:10.1186/1471-2105-14-7>.
| Version: |
0.1.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
GSVA, dplyr, purrr, stringr, tibble, vctrs, clusterProfiler, stats, org.Hs.eg.db, tidyselect, utils |
| Suggests: |
knitr, rmarkdown, testthat (≥ 3.0.0) |
| Published: |
2024-07-22 |
| DOI: |
10.32614/CRAN.package.ssdGSA |
| Author: |
Xingpeng Li [aut, cre],
Qi Qian [aut] |
| Maintainer: |
Xingpeng Li <xingpeng.li at pfizer.com> |
| License: |
GPL-2 |
| NeedsCompilation: |
no |
| CRAN checks: |
ssdGSA results |
Documentation:
Downloads:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=ssdGSA
to link to this page.