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-4.5)RFclust_0.1.2.zip(r-4.4)RFclust_0.1.2.zip(r-4.3)
RFclust_0.1.2.tgz(r-4.4-any)RFclust_0.1.2.tgz(r-4.3-any)
RFclust_0.1.2.tar.gz(r-4.5-noble)RFclust_0.1.2.tar.gz(r-4.4-noble)
RFclust_0.1.2.tgz(r-4.4-emscripten)RFclust_0.1.2.tgz(r-4.3-emscripten)
RFclust.pdf |RFclust.html✨
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 2 years agofrom:94bf809d3e. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-win | OK | Oct 29 2024 |
| R-4.5-linux | OK | Oct 29 2024 |
| R-4.4-win | OK | Oct 29 2024 |
| R-4.4-mac | OK | Oct 29 2024 |
| R-4.3-win | OK | Oct 29 2024 |
| R-4.3-mac | OK | Oct 29 2024 |
Exports:RFCluster
Dependencies:ALLBiobaseBiocGenericsclusterConsensusClusterPlusrandomForest
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Multi-omic profiling of glioblastoma samples | gbm |
| A wrapper for Random Forest Consensus Clustering | RFCluster |
