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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 "survClust" in publications use:'
type: software
license: MIT
title: 'survClust: Identification Of Clinically Relevant Genomic Subtypes Using Outcome
  Weighted Learning'
version: 1.6.0
doi: 10.32614/CRAN.package.survClust
abstract: survClust is an outcome weighted integrative clustering algorithm used to
  classify multi-omic samples on their available time to event information. The resulting
  clusters are cross-validated to avoid over overfitting and output classification
  of samples that are molecularly distinct and clinically meaningful. It takes in
  binary (mutation) as well as continuous data (other omic types).
authors:
- family-names: Arora
  given-names: Arshi
  email: arshiaurora@gmail.com
  orcid: https://orcid.org/0000-0002-4040-1787
repository: https://bioc-release.r-universe.dev
repository-code: https://github.com/arorarshi/survClust
commit: 978186f1008f8a1de7564b0aa86aa6af8fc9b55b
url: https://support.bioconductor.org/t/survClust
date-released: '2024-04-16'
contact:
- family-names: Arora
  given-names: Arshi
  email: arshiaurora@gmail.com
  orcid: https://orcid.org/0000-0002-4040-1787