# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "klic" in publications use:'
type: software
license: MIT
title: 'klic: Kernel Learning Integrative Clustering'
version: 1.0.4
doi: 10.1093/bioinformatics/btaa593
identifiers:
- type: doi
  value: 10.32614/CRAN.package.klic
abstract: 'Kernel Learning Integrative Clustering (KLIC) is an algorithm that allows
  to combine multiple kernels, each representing a different measure of the similarity
  between a set of observations. The contribution of each kernel on the final clustering
  is weighted according to the amount of information carried by it. As well as providing
  the functions required to perform the kernel-based clustering, this package also
  allows the user to simply give the data as input: the kernels are then built using
  consensus clustering. Different strategies to choose the best number of clusters
  are also available. For further details please see Cabassi and Kirk (2020) <https://doi.org/10.1093/bioinformatics/btaa593>.'
authors:
- family-names: Cabassi
  given-names: Alessandra
  email: alessandra.cabassi@mrc-bsu.cam.ac.uk
  orcid: https://orcid.org/0000-0003-1605-652X
preferred-citation:
  type: article
  title: Multiple kernel learning for integrative consensus clustering of genomic
    datasets.
  authors:
  - family-names: Cabassi
    given-names: Alessandra
    email: alessandra.cabassi@mrc-bsu.cam.ac.uk
    orcid: https://orcid.org/0000-0003-1605-652X
  - family-names: Kirk
    given-names: Paul DW
  year: '2020'
  url: https://doi.org/10.1093/bioinformatics/btaa593
  journal: Bioinformatics
  doi: 10.1093/bioinformatics/btaa593
repository: https://cranhaven.r-universe.dev
repository-code: http://github.com/acabassi/klic
commit: abf4550265ec5e88763b76cd67290123e0117dd9
url: http://github.com/acabassi/klic
date-released: '2026-06-11'
contact:
- family-names: Cabassi
  given-names: Alessandra
  email: alessandra.cabassi@mrc-bsu.cam.ac.uk
  orcid: https://orcid.org/0000-0003-1605-652X