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Identifying potential signatures for atherosclerosis in the context of predictive, preventive, and personalized medicine using integrative bioinformatics approaches and machine-learning strategies. (2022)

First Author: Xu J

Attributed to: E-ELT PPRP funded by STFC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1007/978-3-540-95946-5_289

PubMed Identifier: 36061826

Publication URI: http://europepmc.org/abstract/MED/36061826

Type: Journal Article/Review

Volume: 13

Parent Publication: The EPMA journal

Issue: 3

ISSN: 1878-5077