The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
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[@]dogado.de.
Tools to perform random forest consensus clustering of different data types. The package is designed to accept a list of matrices from different assays, typically from high-throughput molecular profiling so that class discovery may be jointly performed. For references, please see Tao Shi & Steve Horvath (2006) <doi:10.1198/106186006X94072> & Monti et al (2003) <doi:10.1023/A:1023949509487> .
| Version: | 0.1.2 |
| Depends: | R (≥ 3.5.0) |
| Imports: | ConsensusClusterPlus, randomForest |
| Published: | 2022-06-21 |
| Author: | Ankur Chakravarthy, PhD |
| Maintainer: | Ankur Chakravarthy <ankur.chakravarthy.10 at ucl.ac.uk> |
| License: | GPL-2 | GPL-3 [expanded from: GPL] |
| NeedsCompilation: | no |
| CRAN checks: | RFclust results |
| Reference manual: | RFclust.pdf |
| Package source: | RFclust_0.1.2.tar.gz |
| Windows binaries: | r-devel: RFclust_0.1.2.zip, r-release: RFclust_0.1.2.zip, r-oldrel: RFclust_0.1.2.zip |
| macOS binaries: | r-release (arm64): RFclust_0.1.2.tgz, r-oldrel (arm64): RFclust_0.1.2.tgz, r-release (x86_64): RFclust_0.1.2.tgz, r-oldrel (x86_64): RFclust_0.1.2.tgz |
| Old sources: | RFclust archive |
Please use the canonical form https://CRAN.R-project.org/package=RFclust 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.
Health stats visible at Monitor.