source · discovered

GREmLN: A Cellular Graph Structure Aware Transcriptomics Foundation Model

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

No supporting source is linked yet.

Technical metadata and extraction receipts

Stable ID: gremln-2026

areas: cells-tissues
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC13060794/
version: preprint version in PMC
retrieved at: 2026-09-15T23:37:05Z
doi: 10.1101/2025.07.03.663009
publication status: preprint
year: 2026
artifact sha256: 3a20c4ededb749fc3f1120baf16dcfebe3fcb30418a91c445cfd91a7b5fdf553
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC13060794/fullTextXML
artifact retrieved at: 2026-09-16T10:33:57.502Z
legacy paper: id: gremln-2026; title: GREmLN: A Cellular Graph Structure Aware Transcriptomics Foundation Model; year: 2026; publication status: preprint; version: preprint version in PMC; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC13060794/; primary domain: cells-tissues; retrieved utc: 2026-09-15T23:37:05Z; notes: Primary full text verified via Europe PMC fullTextXML; venue: bioRxiv; PMC ID: PMC13060794. Preprint; table labels metric F1; paper does not specify macro in this row.; doi: 10.1101/2025.07.03.663009
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

Related records