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EDEN: multiscale expected density of nucleotide encoding for enhanced DNA sequence classification with hybrid deep learning

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: eden-genomic-classification-2026

areas: dna-genomes
url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12879454/
version: journal full text in PMC
retrieved at: 2026-09-15T23:33:26Z
doi: 10.1186/s12859-026-06367-6
publication status: peer_reviewed
year: 2026
artifact sha256: 38a6e26b3caffe8e021a2b0b672218e783aca9ee42046765e323946813015e65
artifact url: https://www.ebi.ac.uk/europepmc/webservices/rest/PMC12879454/fullTextXML
artifact retrieved at: 2026-09-16T10:33:37.531Z
legacy paper: id: eden-genomic-classification-2026; title: EDEN: multiscale expected density of nucleotide encoding for enhanced DNA sequence classification with hybrid deep learning; year: 2026; publication status: peer_reviewed; version: journal full text in PMC; source url: https://pmc.ncbi.nlm.nih.gov/articles/PMC12879454/; primary domain: dna-genomes; retrieved utc: 2026-09-15T23:33:26Z; doi: 10.1186/s12859-026-06367-6; notes: DNABERT-2 comparator 70.52 is printed in Table 5. The article does not clearly document whether this comparator was independently rerun or consolidated from prior GUE results, so evaluation origin is conservatively marked paper_compilation.
scope decision: included
missing metadata: licence: not_reported_in_legacy_extract

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