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Drug response prediction using graph representation learning and Laplacian feature selection

BACKGROUND: Knowing the responses of a patient to drugs is essential to make personalized medicine practical. Since the current clinical drug response experiments are time-consuming and expensive, utilizing human genomic information and drug molecular characteristics to predict drug responses is of...

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Detalles Bibliográficos
Autores principales:	Xie, Minzhu, Lei, Xiaowen, Zhong, Jianchen, Ouyang, Jianxing, Li, Guijing
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2022
Materias:	Methodology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9733001/ https://www.ncbi.nlm.nih.gov/pubmed/36494630 http://dx.doi.org/10.1186/s12859-022-05080-4

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