source · discovered

A deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding

Primary paper retained with its original identifier. Metadata inherited from the literature collection; individual result checks are separate.

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Release 2026-09-16-d74d282221a9 · Record review: discovered

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Technical metadata and extraction receipts

Stable ID: enhancer-position-encoding-2024

areas: dna-genomes
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11167433/
version: version of record
retrieved at: 2026-09-15T23:37:05Z
doi: 10.1016/j.isci.2024.110030
publication status: peer_reviewed
year: 2024
artifact sha256: 0183b6a111b1b02344cad35a571a1fd2c56257e406c5be1df69f7902c5d06749
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC11167433/fullTextXML
artifact retrieved at: 2026-09-16T10:41:06Z
legacy paper: id: enhancer-position-encoding-2024; title: A deep learning model for DNA enhancer prediction based on nucleotide position aware feature encoding; year: 2024; publication status: peer_reviewed; version: version of record; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC11167433/; primary domain: dna-genomes; retrieved utc: 2026-09-15T23:37:05Z; notes: Primary full text verified via Europe PMC fullTextXML; venue: iScience; PMC ID: PMC11167433. Task-specific CNN baseline, included as a DNA benchmark protocol reference.; doi: 10.1016/j.isci.2024.110030
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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