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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 "consICA" in publications use:'
type: software
license: MIT
title: 'consICA: consensus Independent Component Analysis'
version: 2.3.0
abstract: consICA implements a data-driven deconvolution method – consensus independent
  component analysis (ICA) to decompose heterogeneous omics data and extract features
  suitable for patient diagnostics and prognostics. The method separates biologically
  relevant transcriptional signals from technical effects and provides information
  about the cellular composition and biological processes. The implementation of parallel
  computing in the package ensures efficient analysis of modern multicore systems.
authors:
- family-names: Nazarov
  given-names: Petr V.
  email: petr.nazarov@lih.lu
  orcid: https://orcid.org/0000-0003-3443-0298
- family-names: Kaoma
  given-names: Tony
  email: tony.kaoma@lih.lu
  orcid: https://orcid.org/0000-0002-1269-4826
- family-names: Chepeleva
  given-names: Maryna
  email: maryna.chepeleva@gmail.com
  orcid: https://orcid.org/0000-0003-3036-4916
repository: https://bioc.r-universe.dev
repository-code: https://github.com/biomod-lih/consICA
url: https://github.com/biomod-lih/consICA
contact:
- family-names: Nazarov
  given-names: Petr V.
  email: petr.nazarov@lih.lu
  orcid: https://orcid.org/0000-0003-3443-0298