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Autor:
Mohsen Ranjbar, Jeremy J. Yang, Praveen Kumar, Daniel R. Byrd, Elaine L. Bearer, Tudor I. Oprea
Publikováno v:
Natural Sciences, Vol 3, Iss 3, Pp n/a-n/a (2023)
Abstract Identifying novel autophagy (ATG) associated genes in humans remains an important task for understanding this fundamental physiological process. Machine learning (ML) can highlight potentially “missing pieces” linking core ATG genes with
Externí odkaz:
https://doaj.org/article/068aaccd8812402ea4614d52be570ccc