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39 lines (39 loc) · 1.46 KB
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cff-version: 1.2.0
message: "If you use GLOOM in your work, please cite it using the metadata below."
title: "GLOOM: Gene network Learning and Organization through Optimized Machine intelligence"
abstract: >-
A modular, reproducible Python pipeline for disease-gene prioritization that integrates
differential expression, disease-conditioned co-expression networks, machine learning and
positive-unlabeled learning, with a lung adenocarcinoma (LUAD) case study.
type: software
version: 0.2.0
# TODO: set the real release date when the release is tagged (see docs/RELEASE_CHECKLIST.md).
date-released: "2026-10-06"
# TODO: replace the placeholder DOI with the concept/version DOI minted by Zenodo for the tagged release.
doi: "10.5281/zenodo.XXXXXXX"
license: MIT
repository-code: "https://github.com/omicscodeathon/gloom"
url: "https://github.com/omicscodeathon/gloom"
keywords:
- bioinformatics
- machine-learning
- lung-adenocarcinoma
- gene-prioritization
- co-expression-network
- positive-unlabeled-learning
authors:
- family-names: "Abdelsalam"
given-names: "Rahma Y."
email: "rahmayasserm@gmail.com"
- family-names: "Abu-Zeid"
given-names: "Rana H."
email: "ranahamed2111@gmail.com"
- family-names: "Traore"
given-names: "Malick"
email: "malicktra100@gmail.com"
- family-names: "Rogo"
given-names: "Khadija Adam"
email: "khadijarogo212@gmail.com"
- family-names: "Awe"
given-names: "Olaitan I."
email: "laitanawe@gmail.com"