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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 |
| DOI: | 10.32614/CRAN.package.RFclust |
| 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 |
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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.