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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 "spqrp" in publications use:'
type: software
license: GPL-3.0-only
title: 'spqrp: Sample Provenance Quality Resolver in Proteomics'
version: 0.1.0
abstract: Detect sample-provenance inconsistencies and potential mix-ups in mass-spectrometry-based
  plasma-proteome cohorts. Provides a clustering-based approach (build a nearest-neighbour
  graph in a dimensionality-reduced space and iteratively split large components by
  edge weight), a threshold-based approach (classify sample pairs as belonging or
  not-belonging from a pairwise distance cutoff), parameter optimization over distance
  metrics and cutoffs, and a pairwise random-forest classifier for protein importance
  ranking. This is a native R port of the author's Python package 'spqrp' (<https://github.com/fhradilak/spqrp>),
  implementing methods from an associated manuscript currently in preparation.
authors:
- family-names: Hradilak
  given-names: Franziska
  email: Franziska.Hradilak@student.hpi.uni-potsdam.de
preferred-citation:
  type: generic
  title: 'SPQRP: Sample Provenance Quality Resolver in Proteomics — Addressing Sample
    Mix-Ups in Large-Scale Proteomics'
  authors:
  - name: anonymous
  year: '2026'
  notes: Manuscript in preparation
repository: https://fhradilak.r-universe.dev
repository-code: https://github.com/fhradilak/spqrp_r
commit: c97b401a13ce1ff85ae2bcb655b110ed823b4b66
url: https://github.com/fhradilak/spqrp_r
date-released: '2026-06-09'
contact:
- family-names: Hradilak
  given-names: Franziska
  email: Franziska.Hradilak@student.hpi.uni-potsdam.de