Package: ClussCluster
Type: Package
Title: Simultaneous Detection of Clusters and Cluster-Specific Genes in
        High-Throughput Transcriptome Data
Version: 0.1.0
Authors@R: c(
	person("Li", "Jun", email = "jun.li@nd.edu", role = "cre"),
	person("Jiang", "Ge", email = "gejiang2@illinois.edu", role = "aut"),
	person("Wang", "Chuanqi", email = "cwang14@nd.edu", role = 'ctb'))
Description: 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and Jun Li, "Simultaneous Detection of Clusters and Cluster-Specific Genes in High-throughput Transcriptome Data" (Unpublished).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.
Depends: R (>= 2.10.0)
Suggests: knitr, rmarkdown (>= 1.13)
VignetteBuilder: knitr
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)
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
NeedsCompilation: no
Packaged: 2019-07-02 14:40:39 UTC; Chuanqi
Author: Li Jun [cre],
  Jiang Ge [aut],
  Wang Chuanqi [ctb]
Maintainer: Li Jun <jun.li@nd.edu>
Repository: CRAN
Date/Publication: 2019-07-02 16:30:16 UTC
Built: R 4.6.0; ; 2026-04-28 00:53:27 UTC; unix
