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ClussCluster

Simultaneous Detection of Clusters and Cluster-Specific Genes in High-Throughput Transcriptome Data

Implements a new method 'ClussCluster' descried in Ge Jiang and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished). Simultaneously perform clustering analysis and signature gene selection on high-dimensional transcriptome data sets. To do so, 'ClussCluster' incorporates a Lasso-type regularization penalty term to the objective function of K- means so that cell-type-specific signature genes can be identified while clustering the cells.

Versions across snapshots

VersionRepositoryFileSize
0.1.0 rolling linux/jammy R-4.5 ClussCluster_0.1.0.tar.gz 209.9 KiB
0.1.0 rolling linux/noble R-4.5 ClussCluster_0.1.0.tar.gz 209.9 KiB
0.1.0 rolling source/ R- ClussCluster_0.1.0.tar.gz 174.4 KiB
0.1.0 latest linux/jammy R-4.5 ClussCluster_0.1.0.tar.gz 209.9 KiB
0.1.0 latest linux/noble R-4.5 ClussCluster_0.1.0.tar.gz 209.9 KiB
0.1.0 latest source/ R- ClussCluster_0.1.0.tar.gz 174.4 KiB
0.1.0 2026-04-26 source/ R- ClussCluster_0.1.0.tar.gz 174.4 KiB
0.1.0 2026-04-23 source/ R- ClussCluster_0.1.0.tar.gz 174.4 KiB
0.1.0 2026-04-09 windows/windows R-4.5 ClussCluster_0.1.0.zip 213.7 KiB
0.1.0 2025-04-20 source/ R- ClussCluster_0.1.0.tar.gz 174.4 KiB

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