The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
The gene-set distance analysis of omic data is implemented by generalizing distance correlations to evaluate the association of a gene set with categorical and censored event-time variables.
| Version: | 1.0 |
| Depends: | R (≥ 3.5.0), msigdbr |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-01-18 |
| Author: | Xueyuan Cao [aut, cre], Stanley Pounds [aut] |
| Maintainer: | Xueyuan Cao <xcao12 at uthsc.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | GSDA results |
| Reference manual: | GSDA.pdf |
| Vignettes: |
An Introduction to the GSDA Package |
| Package source: | GSDA_1.0.tar.gz |
| Windows binaries: | r-devel: GSDA_1.0.zip, r-release: GSDA_1.0.zip, r-oldrel: GSDA_1.0.zip |
| macOS binaries: | r-release (arm64): GSDA_1.0.tgz, r-oldrel (arm64): GSDA_1.0.tgz, r-release (x86_64): GSDA_1.0.tgz, r-oldrel (x86_64): GSDA_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=GSDA to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.