source · discovered
Prediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning
Primary paper retained with its original identifier. Metadata inherited from the literature collection; individual result checks are separate.
Sources and history
Release 2026-09-16-d74d282221a9 · Record review: discovered
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Stable ID: scregnet-2025
- areas
- cells-tissues
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC11838224/
- version
- PMC11838224.2
- retrieved at
- 2026-09-15T23:25:00Z
- doi
- 10.1101/2024.12.16.628715
- publication status
- preprint
- year
- 2025
- artifact sha256
- 65b3272d47bb9c4ee1e7a965169bef63add9dbeb31508d4076e5145b761af4ec
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11838224/fullTextXML
- artifact retrieved at
- 2026-09-16T10:41:16.541287+00:00
- legacy paper
- id: scregnet-2025; title: Prediction of Gene Regulatory Connections with Joint Single-Cell Foundation Models and Graph-Based Learning; year: 2025; publication status: preprint; version: PMC11838224.2; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11838224/; primary domain: cells-tissues; retrieved utc: 2026-09-15T23:25:00Z; notes: Primary full text via Europe PMC XML; venue: bioRxiv; PMC ID: PMC11838224.; doi: 10.1101/2024.12.16.628715
- scope decision
- included
- missing metadata
- licence: not_reported_in_legacy_extract