source · discovered
Cell2Sentence: Teaching Large Language Models the Language of Biology
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: cell2sentence-2024
- areas
- cells-tissues
- url
- https://pmc.ncbi.nlm.nih.gov/articles/PMC11565894/
- version
- preprint archived 2024-10-29
- retrieved at
- 2026-09-15T23:25:00Z
- doi
- 10.1101/2023.09.11.557287
- publication status
- preprint
- year
- 2024
- artifact sha256
- e088727d6e04857fccb7033a9b074e1850f775e86e7d2e99e603dde09558ab02
- artifact url
- https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11565894/fullTextXML
- artifact retrieved at
- 2026-09-16T10:41:16.533640+00:00
- legacy paper
- id: cell2sentence-2024; title: Cell2Sentence: Teaching Large Language Models the Language of Biology; year: 2024; publication status: preprint; version: preprint archived 2024-10-29; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11565894/; primary domain: cells-tissues; retrieved utc: 2026-09-15T23:25:00Z; notes: Primary full text via Europe PMC XML; venue: bioRxiv; PMC ID: PMC11565894.; doi: 10.1101/2023.09.11.557287
- scope decision
- included
- missing metadata
- licence: not_reported_in_legacy_extract