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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 "scPAS" in publications use:'
type: software
license: GPL-3.0-only
title: 'scPAS: Single-Cell Phenotype-Associated Subpopulation Identifier'
version: 1.0.4
doi: 10.32614/CRAN.package.scPAS
abstract: Identifies phenotype-associated cell subpopulations from single-cell RNA-seq
  data by integrating bulk RNA-seq data with phenotype information. This package uses
  network-regularized sparse regression to quantify the strength of association between
  each cell and a phenotype (e.g., disease stage, tumor metastasis, treatment response,
  survival outcomes). Compatible with both Seurat v4 (4.0.0+) and Seurat v5 (5.0.0+).
  The method supports Gaussian (continuous), binomial (binary), and Cox (survival)
  regression families. Full cross-platform compatibility (Windows, macOS, Linux).
authors:
- family-names: Xie
  given-names: Aimin
  email: aiminyy1993@gmail.com
- family-names: Liu
  given-names: Zaoqu
  email: liuzaoqu@163.com
  orcid: https://orcid.org/0000-0002-0452-742X
repository: https://zaoqu-liu.r-universe.dev
repository-code: https://github.com/Zaoqu-Liu/scPAS
commit: 8f4f190d3e9b11b4b9f4a128fc8a0b66c1b22e75
url: https://github.com/Zaoqu-Liu/scPAS
date-released: '2026-01-23'
contact:
- family-names: Liu
  given-names: Zaoqu
  email: liuzaoqu@163.com
  orcid: https://orcid.org/0000-0002-0452-742X