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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 "RAS" in publications use:'
type: software
license: MIT
title: 'RAS: Regional Association Score for Genome-Wide Association Studies'
version: 1.0.3
doi: 10.1073/pnas.2419721122
identifiers:
- type: doi
  value: 10.32614/CRAN.package.RAS
abstract: Implements the Regional Association Score (RAS) method for genome-wide association
  studies (GWAS). For each single nucleotide polymorphism (SNP), RAS quantifies the
  strength of association within its surrounding genomic region, arranges these regional
  scores along the chromosome into a signal profile, and applies changepoint detection
  to locate association regions, improving statistical power while controlling the
  false positive rate. The method is described in Jiang and Zhang (2025) <https://doi.org/10.1073/pnas.2419721122>.
authors:
- family-names: Jiang
  given-names: Yiran
  email: yiran.jiang@uky.edu
- family-names: Jin
  given-names: Jiahe
  email: jiahe.jin@yale.edu
- family-names: Zhang
  given-names: Heping
  email: heping.zhang@yale.edu
preferred-citation:
  type: article
  title: Empowering genome-wide association studies via a visualizable test based
    on the regional association score
  authors:
  - family-names: Jiang
    given-names: Yiran
    email: yiran.jiang@uky.edu
  - family-names: Zhang
    given-names: Heping
    email: heping.zhang@yale.edu
  journal: Proceedings of the National Academy of Sciences
  year: '2025'
  volume: '122'
  issue: '9'
  doi: 10.1073/pnas.2419721122
  start: e2419721122
repository: https://hepingzhangyale.r-universe.dev
repository-code: https://github.com/hepingzhangyale/RAS
commit: 24fc8f211569a041f2dbcd7e5d7b651156abeb84
url: https://github.com/hepingzhangyale/RAS
date-released: '2026-07-24'
contact:
- family-names: Jin
  given-names: Jiahe
  email: jiahe.jin@yale.edu