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and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished).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
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
2026-04-09 windows/windows R-4.5 | ClussCluster_0.1.0.zip |
213.7 KiB |