Code and data for "Discovery of senolytics using machine learning" [Dataset]

Code and data for paper "Discovery of senolytics using machine learning" by Smer-Barreto et al, 2023. Files contain the datasets employed for model training and computational screening, as well as a jupyter notebook with code for model training, feature selection and screening.

Detalhes bibliográficos
Autores: Smer-Barreto, Vanessa, Quintanilla, Andrea, Elliott, Richard J. R., Dawson, John C., Sun, Jiugeng, Campa, Víctor M., Lorente-Macías, Álvaro, Unciti-Broceta, Asier, Carragher, Neil O., Acosta, Juan C., Oyarzún, Diego A.
Formato: conjunto de datos
Estado:Versión publicada
Fecha de publicación:2023
País:España
Recursos:Consejo Superior de Investigaciones Científicas (CSIC)
Repositorio:DIGITAL.CSIC. Repositorio Institucional del CSIC
OAI Identifier:oai:digital.csic.es:10261/361065
Acesso em linha:http://hdl.handle.net/10261/361065
Access Level:acceso abierto
Palavra-chave:Machine learning
Artificial intelligence
Cellular senescence
Drug discovery
Senolytics
Descrição
Resumo:Code and data for paper "Discovery of senolytics using machine learning" by Smer-Barreto et al, 2023. Files contain the datasets employed for model training and computational screening, as well as a jupyter notebook with code for model training, feature selection and screening.

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