Yearning for machine learning: applications for the classification and characterisation of senescence.

Hughes, Bethany K; Wallis, Ryan; Bishop, Cleo L

Hughes, Bethany K; Wallis, Ryan; Bishop, Cleo L.

Afiliação

Hughes BK; Blizard Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, 4 Newark Street, London, E1 2AT, UK.
Wallis R; Blizard Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, 4 Newark Street, London, E1 2AT, UK.
Bishop CL; Blizard Institute, Barts and The London Faculty of Medicine and Dentistry, Queen Mary University of London, 4 Newark Street, London, E1 2AT, UK. c.l.bishop@qmul.ac.uk.

Cell Tissue Res ; 394(1): 1-16, 2023 Oct.

Article em En | MEDLINE | ID: mdl-37016180

Assuntos

Senescência Celular; Neoplasias; Humanos; Senescência Celular/genética; Envelhecimento/metabolismo; Neoplasias/genética; Fenótipo; Divisão Celular

Palavras-chave

Aging; Artificial intelligence; Deep learning; Machine learning; Sc-RNA seq; Senescence

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Senescência Celular / Neoplasias Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google