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        (Unpublished).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: 2026-07-05 07:05:04 UTC; root
Author: Li Jun [cre], Jiang Ge [aut], Wang Chuanqi [ctb]
Maintainer: Li Jun <jun.li@nd.edu>
Config/pak/sysreqs: libicu-dev
Repository: https://jli-stat.r-universe.dev
Date/Publication: 2019-07-02 15:30:16 UTC
RemoteUrl: https://github.com/cran/ClussCluster
RemoteRef: HEAD
RemoteSha: ac393fec37cb770fb2566eaef1b247ad82a98c6b