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# CITATION file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "messina" in publications use:'
type: software
license: EPL-1.0
title: 'messina: Single-gene classifiers and outlier-resistant detection of differential
  expression for two-group and survival problems'
version: 1.41.0
doi: 10.1371/journal.pone.0005337
abstract: Messina is a collection of algorithms for constructing optimally robust
  single-gene classifiers, and for identifying differential expression in the presence
  of outliers or unknown sample subgroups. The methods have application in identifying
  lead features to develop into clinical tests (both diagnostic and prognostic), and
  in identifying differential expression when a fraction of samples show unusual patterns
  of expression.
authors:
- family-names: Pinese
  given-names: Mark
  email: m.pinese@garvan.org.au
preferred-citation:
  type: article
  title: 'Messina: A Novel Analysis Tool to Identify Biologically Relevant Molecules
    in Disease'
  authors:
  - family-names: Pinese
    given-names: Mark
    email: m.pinese@garvan.org.au
  - family-names: Scarlett
    given-names: Christopher J.
  - family-names: Kench
    given-names: James G.
  - family-names: Colvin
    given-names: Emily K.
  - family-names: Segara
    given-names: Davendra
  - family-names: Henshall
    given-names: Susan M.
  - family-names: Sutherland
    given-names: Robert L.
  - family-names: Biankin
    given-names: Andrew V.
  volume: '4'
  issn: 1932-6203
  doi: 10.1371/journal.pone.0005337
  issue: '4'
  journal: PLoS ONE
  publisher:
    name: Public Library of Science (PLoS)
  editors:
  - family-names: Lashuel
    given-names: Hilal
  year: '2009'
  month: '4'
  start: e5337
repository: https://bioc.r-universe.dev
date-released: '2014-03-20'
contact:
- family-names: Pinese
  given-names: Mark
  email: m.pinese@garvan.org.au