Simultaneous Detection of Clusters and Cluster-Specific Genes in High-Throughput Transcriptome Data R package ClussCluster version 0.1.0 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and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished).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. Software Depends: R (>= 2.10.0) Imports: stats (>= 3.5.0), utils (>= 3.5.0), VennDiagram, scales (>= 1.0.0), reshape2 (>= 1.4.3), ggplot2 (>= 3.1.0), rlang (>= 0.3.4) Suggests: knitr, rmarkdown (>= 1.13) Li Jun <jun.li@nd.edu> Comprehensive R Archive Network (CRAN) Li Jun [cre], Jiang Ge [aut], Wang Chuanqi [ctb] GPL-3 2019-07-02 application/tgz https://CRAN.R-project.org/package=ClussCluster doi:10.32614/CRAN.package.ClussCluster