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cobiclust

Biclustering via Latent Block Model Adapted to Overdispersed Count Data

Implementation of a probabilistic method for biclustering adapted to overdispersed count data. It is a Gamma-Poisson Latent Block Model. It also implements two selection criteria in order to select the number of biclusters.

Versions across snapshots

VersionRepositoryFileSize
0.1.2 rolling linux/jammy R-4.5 cobiclust_0.1.2.tar.gz 57.1 KiB
0.1.2 rolling linux/noble R-4.5 cobiclust_0.1.2.tar.gz 57.1 KiB
0.1.2 rolling source/ R- cobiclust_0.1.2.tar.gz 12.0 KiB
0.1.2 latest linux/jammy R-4.5 cobiclust_0.1.2.tar.gz 57.1 KiB
0.1.2 latest linux/noble R-4.5 cobiclust_0.1.2.tar.gz 57.1 KiB
0.1.2 latest source/ R- cobiclust_0.1.2.tar.gz 12.0 KiB
0.1.2 2026-04-26 source/ R- cobiclust_0.1.2.tar.gz 12.0 KiB
0.1.2 2026-04-23 source/ R- cobiclust_0.1.2.tar.gz 12.0 KiB
0.1.2 2026-04-09 windows/windows R-4.5 cobiclust_0.1.2.zip 60.4 KiB
0.1.2 2025-04-20 source/ R- cobiclust_0.1.2.tar.gz 12.0 KiB

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