MSDRP: a deep learning model based on multisource data for predicting drug response

MOTIVATION: Cancer heterogeneity drastically affects cancer therapeutic outcomes. Predicting drug response in vitro is expected to help formulate personalized therapy regimens. In recent years, several computational models based on machine learning and deep learning have been proposed to predict dru...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Haochen, Zhang, Xiaoyu, Zhao, Qichang, Li, Yaohang, Wang, Jianxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474952/
https://www.ncbi.nlm.nih.gov/pubmed/37606993
http://dx.doi.org/10.1093/bioinformatics/btad514

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10474952/
https://www.ncbi.nlm.nih.gov/pubmed/37606993
http://dx.doi.org/10.1093/bioinformatics/btad514

Ejemplares similares