LLM-PathwayCurator/CITATION.cff at main · kenflab/LLM-PathwayCurator · GitHub

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cff-version: 1.2.0
message: "If you use LLM-PathwayCurator in your research, please cite it."
title: "LLM-PathwayCurator: Audit-gated decision-grade pathway claims from enrichment outputs"
type: software
version: 0.1.0
authors:
  - family-names: "Furudate"
    given-names: "Ken"
    orcid: "https://orcid.org/0000-0003-1272-5490"
  - family-names: "Takahashi"
    given-names: "Koichi"
    orcid: "https://orcid.org/0000-0002-8027-9659"
repository-code: "https://github.com/kenflab/LLM-PathwayCurator"
url: "https://github.com/kenflab/LLM-PathwayCurator"
license: "MIT"
keywords:
  - "reproducible research"
  - "computational biology"
  - "quality assurance"
  - "pathway analysis"
  - "enrichment analysis"
  - "fgsea"
  - "GSEA"
  - "Metascape"
  - "abstention"
  - "selective prediction"
  - "LLM"
  - "bioinformatics tool"
abstract: >
  Enrichment interpretations invite plausible narratives. LLM-PathwayCurator
  transforms enrichment outputs into auditable, evidence-linked claims with
  redundancy-highlighting module mapping; across The Cancer Genome Atlas’s seven
  cohorts, it achieved qualified coverage of 0.66–0.80 under matched context but
  dropped to 0.20–0.42 under context swap and 0.20–0.30 after supporting-gene
  dropout, reflecting contract violations or weakened gene support. By
  transforming narratives into decision-grade claims with audit-gated
  abstention, it establishes a reproducible quality-assurance layer for omics
  interpretation.
preferred-citation:
  type: software
  title: "LLM-PathwayCurator: Audit-gated decision-grade pathway claims from enrichment outputs"
  authors:
    - family-names: "Furudate"
      given-names: "Ken"
    - family-names: "Takahashi"
      given-names: "Koichi"
  year: 2026
  version: 0.1.0
  doi: "10.5281/zenodo.18625777"
  url: "https://github.com/kenflab/LLM-PathwayCurator"
  repository-code: "https://github.com/kenflab/LLM-PathwayCurator"