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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "ClussCluster" in publications use:'
type: software
license: GPL-3.0-only
title: 'ClussCluster: Simultaneous Detection of Clusters and Cluster-Specific Genes
  in High-Throughput Transcriptome Data'
version: 0.1.0
doi: 10.32614/CRAN.package.ClussCluster
abstract: 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  Transcriptome Data" (Unpublished).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.
authors:
- family-names: Jun
  given-names: Li
  email: jun.li@nd.edu
- family-names: Ge
  given-names: Jiang
  email: gejiang2@illinois.edu
repository: https://jli-stat.r-universe.dev
commit: ac393fec37cb770fb2566eaef1b247ad82a98c6b
date-released: '2019-07-02'
contact:
- family-names: Jun
  given-names: Li
  email: jun.li@nd.edu