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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 "cancerclass" in publications use:'
type: software
title: 'cancerclass: Development and validation of diagnostic tests from high-dimensional
  molecular data'
version: 1.49.0
abstract: The classification protocol starts with a feature selection step and continues
  with nearest-centroid classification. The accurarcy of the predictor can be evaluated
  using training and test set validation, leave-one-out cross-validation or in a multiple
  random validation protocol. Methods for calculation and visualization of continuous
  prediction scores allow to balance sensitivity and specificity and define a cutoff
  value according to clinical requirements.
authors:
- family-names: Kosztyla
  given-names: Daniel
  email: danielkossi@hotmail.com
- family-names: Budczies
  given-names: Jan
repository: https://bioc.r-universe.dev
date-released: '2011-10-26'
contact:
- family-names: Kosztyla
  given-names: Daniel
  email: danielkossi@hotmail.com