# --------------------------------------------
# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
# --------------------------------------------
 
cff-version: 1.2.0
message: 'To cite package "biosigner" in publications use:'
type: software
license: CECILL-1.0
title: 'biosigner: Signature discovery from omics data'
version: 1.33.0
abstract: Feature selection is critical in omics data analysis to extract restricted
  and meaningful molecular signatures from complex and high-dimension data, and to
  build robust classifiers. This package implements a new method to assess the relevance
  of the variables for the prediction performances of the classifier. The approach
  can be run in parallel with the PLS-DA, Random Forest, and SVM binary classifiers.
  The signatures and the corresponding 'restricted' models are returned, enabling
  future predictions on new datasets. A Galaxy implementation of the package is available
  within the Workflow4metabolomics.org online infrastructure for computational metabolomics.
authors:
- family-names: Rinaudo
  given-names: Philippe
  email: phd.rinaudo@gmail.com
- family-names: Thevenot
  given-names: Etienne A.
  email: etienne.thevenot@cea.fr
  orcid: https://orcid.org/0000-0003-1019-4577
preferred-citation:
  type: article
  title: 'biosigner: A new method for the discovery of restricted and stable molecular
    signatures from omics data'
  authors:
  - family-names: Rinaudo
    given-names: P.
  - family-names: Boudah
    given-names: S.
  - family-names: Junot
    given-names: C.
  - family-names: Thevenot
    given-names: E. A.
  journal: Frontiers in Molecular Biosciences
  year: '2016'
  volume: '3'
  url: https://doi.org/10.3389/fmolb.2016.00026
  start: '-'
repository: https://bioc.r-universe.dev
url: http://dx.doi.org/10.3389/fmolb.2016.00026
date-released: '2023-05-28'
contact:
- family-names: Thevenot
  given-names: Etienne A.
  email: etienne.thevenot@cea.fr
  orcid: https://orcid.org/0000-0003-1019-4577