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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "ccml" in publications use:'
type: software
license: GPL-2.0-only
title: 'ccml: Consensus Clustering for Different Sample Coverage Data'
version: 1.4.0
doi: 10.32614/CRAN.package.ccml
abstract: Consensus clustering, also called meta-clustering or cluster ensembles,
  has been increasingly used in clinical data. Current consensus clustering methods
  tend to ensemble a number of different clusters from mathematical replicates with
  similar sample coverage. As the fact of common variety of sample coverage in the
  real-world data, a new consensus clustering strategy dealing with such biological
  replicates is required. This is a two-step consensus clustering package, which is
  used to input multiple predictive labels with different sample coverage (missing
  labels).
authors:
- family-names: Li
  given-names: Chuanxing
  email: chuan-xing.li@ki.se
- family-names: Zhou
  given-names: Meng
  email: zhoumeng@wmu.edu.cn
repository: https://cranhaven.r-universe.dev
commit: 0d4dc0b12044bda92c5a2f478a49638a3902e6f8
date-released: '2023-08-30'
contact:
- family-names: Li
  given-names: Chuanxing
  email: chuan-xing.li@ki.se