A machine learning approach to identify key epigenetic transcripts for ageing research in human blood (Epitage).

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Bibliographic Details
Title: A machine learning approach to identify key epigenetic transcripts for ageing research in human blood (Epitage).
Authors: Benazzi Maia T; Laboratory of Regulation of Gene Expression, IRCCS AOM San Martino, Genova, Italy. a00s@a00s.com., Pfeffer U; Laboratory of Regulation of Gene Expression, IRCCS AOM San Martino, Genova, Italy.
Source: Biogerontology [Biogerontology] 2026 Jul 22; Vol. 27 (4). Date of Electronic Publication: 2026 Jul 22.
Publication Type: Journal Article
Journal Info: Publisher: Kluwer Academic Country of Publication: Netherlands NLM ID: 100930043 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-6768 (Electronic) Linking ISSN: 13895729 NLM ISO Abbreviation: Biogerontology Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1573-6768
DOI:10.1007/s10522-026-10473-6