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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 "SigCheck" in publications use:'
type: software
license: Artistic-2.0
title: 'SigCheck: Check a gene signature''s prognostic performance against random
  signatures, known signatures, and permuted data/metadata'
version: 2.37.0
abstract: While gene signatures are frequently used to predict phenotypes (e.g. predict
  prognosis of cancer patients), it it not always clear how optimal or meaningful
  they are (cf David Venet, Jacques E. Dumont, and Vincent Detours' paper "Most Random
  Gene Expression Signatures Are Significantly Associated with Breast Cancer Outcome").
  Based on suggestions in that paper, SigCheck accepts a data set (as an ExpressionSet)
  and a gene signature, and compares its performance on survival and/or classification
  tasks against a) random gene signatures of the same length; b) known, related and
  unrelated gene signatures; and c) permuted data and/or metadata.
authors:
- family-names: Stark
  given-names: Rory
  email: rory.stark@cruk.cam.ac.uk
- family-names: Norden
  given-names: Justin
repository: https://bioc.r-universe.dev
contact:
- family-names: Stark
  given-names: Rory
  email: rory.stark@cruk.cam.ac.uk