Package: RFclust 0.1.2
RFclust: Random Forest Cluster Analysis
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> .
Authors:
RFclust_0.1.2.tar.gz
RFclust_0.1.2.zip(r-4.7-any)RFclust_0.1.2.zip(r-4.6-any)RFclust_0.1.2.zip(r-4.5-any)
RFclust_0.1.2.tgz(r-4.6-any)RFclust_0.1.2.tgz(r-4.5-any)
RFclust_0.1.2.tar.gz(r-4.7-any)RFclust_0.1.2.tar.gz(r-4.6-any)
RFclust_0.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RFclust/json (API)
| # Install 'RFclust' in R: |
| install.packages('RFclust', repos = c('https://archakravarthy.r-universe.dev', 'https://cloud.r-project.org')) |
- gbm - Multi-omic profiling of glioblastoma samples
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:94bf809d3e. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 99 | ||
| source / vignettes | OK | 127 | ||
| linux-release | OK | 91 | ||
| macos-release | OK | 161 | ||
| macos-oldrel | OK | 173 | ||
| windows-devel | OK | 69 | ||
| windows-release | OK | 58 | ||
| windows-oldrel | OK | 61 | ||
| wasm-release | OK | 88 |
Exports:RFCluster
Dependencies:ALLBiobaseBiocGenericsclusterConsensusClusterPlusgenericsrandomForest
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Multi-omic profiling of glioblastoma samples | gbm |
| A wrapper for Random Forest Consensus Clustering | RFCluster |