source · discovered

Utilizing a deep learning model based on BERT for identifying enhancers and their strength

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: dnabert2-enhancer-2025

areas: dna-genomes
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11981215/
version: journal full text in PMC
retrieved at: 2026-09-15T23:33:26Z
doi: 10.1371/journal.pone.0320085
publication status: peer_reviewed
year: 2025
artifact sha256: d052b80efe7bfc1380994ad28503a5575f04ef940f74d5c9c137cb4ba6827863
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11981215/fullTextXML
artifact retrieved at: 2026-09-16T10:38:57.558204+00:00
legacy paper: id: dnabert2-enhancer-2025; title: Utilizing a deep learning model based on BERT for identifying enhancers and their strength; year: 2025; publication status: peer_reviewed; version: journal full text in PMC; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11981215/; primary domain: dna-genomes; retrieved utc: 2026-09-15T23:33:26Z; doi: 10.1371/journal.pone.0320085; notes: Numeric result checked against Table 4 in primary full-text XML; journal/source: PLOS One.
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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