SWnet: a deep learning model for drug response prediction from cancer genomic signatures and compound chemical structures

BACKGROUND: One of the major challenges in precision medicine is accurate prediction of individual patient’s response to drugs. A great number of computational methods have been developed to predict compounds activity using genomic profiles or chemical structures, but more exploration is yet to be d...

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Detalles Bibliográficos
Autores principales: Zuo, Zhaorui, Wang, Penglei, Chen, Xiaowei, Tian, Li, Ge, Hui, Qian, Dahong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434731/
https://www.ncbi.nlm.nih.gov/pubmed/34507532
http://dx.doi.org/10.1186/s12859-021-04352-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8434731/
https://www.ncbi.nlm.nih.gov/pubmed/34507532
http://dx.doi.org/10.1186/s12859-021-04352-9

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