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and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished).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.


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install.packages("ClussCluster")

0.1.0 by Li Jun, 15 days ago


Browse source code at https://github.com/cran/ClussCluster


Authors: Li Jun [cre] , Jiang Ge [aut] , Wang Chuanqi [ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports stats, utils, VennDiagram, scales, reshape2, ggplot2, rlang

Suggests knitr, rmarkdown


See at CRAN