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# CITATION.cff file created with {cffr} R package
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cff-version: 1.2.0
message: 'To cite package "IntrinsicScan" in publications use:'
type: software
license: MIT
title: 'IntrinsicScan: Label-Blind Feature-Wise Intrinsic Binary Partition Scanning'
version: 0.99.4
abstract: Scans continuous molecular features for intrinsic binary partitions without
  using phenotype labels to determine the split. For each feature, observations are
  divided into two one-dimensional states by selecting the split that minimizes the
  total within-state L1 loss, defined here as the sum of absolute distances between
  each observation and the medoid of its assigned state. Thus, unlike a squared-error
  objective, deviations are measured according to their absolute magnitude rather
  than being squared. Binary phenotype labels are used only after the partition is
  fixed to orient the two states, quantify phenotype concordance using orientation-free
  Youden J, perform exact conditional inference, and optionally assess resampling
  stability or fixed-partition permutation calibration. The method is intended for
  preprocessed continuous omics measurements and does not imply that a fitted partition
  represents true biological bimodality or discrete biological states.
authors:
- family-names: Altare
  given-names: Leandro
  email: memedesimo22@gmail.com
  orcid: https://orcid.org/0009-0004-5861-8679
repository: https://bioc.r-universe.dev
repository-code: https://github.com/memedesimo98/IntrinsicScan
commit: 8c2ac4e72f77bdf1f8d304b69aa0ee56fa47b8f4
url: https://github.com/memedesimo98/IntrinsicScan
date-released: '2026-10-10'
contact:
- family-names: Altare
  given-names: Leandro
  email: memedesimo22@gmail.com
  orcid: https://orcid.org/0009-0004-5861-8679