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# CITATION.cff 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 "multipletR" in publications use:'
type: software
license: MIT
title: 'multipletR: Adaptive Detection of Human-Mouse Multiplets in PDX Single-Cell
  Data'
version: 0.99.9
abstract: Detects human-mouse multiplets in patient-derived xenograft (PDX) single-cell
  RNA-seq data using an adaptive threshold method that does not assume a fixed species
  proportion. Takes a 10x CellRanger GEM classification file and returns the data
  with added multiplet classifications, with optional diagnostic plots and helpers
  to annotate a Seurat or SingleCellExperiment object with multiplet classifications
  or remove multiplets from it. The adaptive approach starts from a conservative central
  region of balanced droplets and expands its thresholds until the selected cells
  no longer resemble true multiplets, which handles the imbalanced species mixtures
  common in real PDX samples.
authors:
- family-names: Gerveni
  given-names: Alexandra
  email: alexandra.gerveni@hotmail.com
  orcid: https://orcid.org/0009-0004-5428-5889
- family-names: Olex
  given-names: Amy
- family-names: Dozmorov
  given-names: Mikhail
- family-names: Bulut
  given-names: Gamze
repository: https://bioc.r-universe.dev
repository-code: https://github.com/Alex05a/multipletR
commit: a3af58a3c95a2917fc107393129e15e811668719
url: https://github.com/Alex05a/multipletR
date-released: '2026-09-22'
contact:
- family-names: Gerveni
  given-names: Alexandra
  email: alexandra.gerveni@hotmail.com
  orcid: https://orcid.org/0009-0004-5428-5889