source · discovered

Hi-Enhancer: a two-stage framework for prediction and localization of enhancers based on Blending-KAN and Stacking-Auto models

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: hi-enhancer-2025

areas: dna-genomes
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12758598/
version: version of record
retrieved at: 2026-09-15T23:37:05Z
doi: 10.1093/bioinformatics/btaf441
publication status: peer_reviewed
year: 2025
artifact sha256: c86488c9f60329b7a3c4370598e7a0a9e4c8c45d1758b87007bfc8242376b009
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12758598/fullTextXML
artifact retrieved at: 2026-09-16T10:41:06Z
legacy paper: id: hi-enhancer-2025; title: Hi-Enhancer: a two-stage framework for prediction and localization of enhancers based on Blending-KAN and Stacking-Auto models; year: 2025; publication status: peer_reviewed; version: version of record; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12758598/; primary domain: dna-genomes; retrieved utc: 2026-09-15T23:37:05Z; notes: Primary full text verified via Europe PMC fullTextXML; venue: Bioinformatics; PMC ID: PMC12758598. Task-specific enhancer predictor; not a DNA foundation model. Comparison values from older papers excluded.; doi: 10.1093/bioinformatics/btaf441
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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