ClussCluster (0.1.0)

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

http://cran.r-project.org/web/packages/ClussCluster

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and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished).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

Maintainer: Li Jun
Author(s): Li Jun [cre], Jiang Ge [aut], Wang Chuanqi [ctb]

License: GPL-3

Uses: ggplot2, reshape2, rlang, scales, VennDiagram, knitr, rmarkdown

Released 6 months ago.


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