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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> .

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 RFclust_0.1.2.tar.gz 1.6 MiB
0.1.2 rolling linux/noble R-4.5 RFclust_0.1.2.tar.gz 1.6 MiB
0.1.2 rolling source/ R- RFclust_0.1.2.tar.gz 1.6 MiB
0.1.2 latest linux/jammy R-4.5 RFclust_0.1.2.tar.gz 1.6 MiB
0.1.2 latest linux/noble R-4.5 RFclust_0.1.2.tar.gz 1.6 MiB
0.1.2 latest source/ R- RFclust_0.1.2.tar.gz 1.6 MiB
0.1.2 2026-04-26 source/ R- RFclust_0.1.2.tar.gz 1.6 MiB
0.1.2 2026-04-23 source/ R- RFclust_0.1.2.tar.gz 1.6 MiB
0.1.2 2025-04-20 source/ R- RFclust_0.1.2.tar.gz 1.6 MiB

Dependencies (latest)

Imports