DualGCN: a dual graph convolutional network model to predict cancer drug response

BACKGROUND: Drug resistance is a critical obstacle in cancer therapy. Discovering cancer drug response is important to improve anti-cancer drug treatment and guide anti-cancer drug design. Abundant genomic and drug response resources of cancer cell lines provide unprecedented opportunities for such...

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Detalles Bibliográficos
Autores principales: Ma, Tianxing, Liu, Qiao, Li, Haochen, Zhou, Mu, Jiang, Rui, Zhang, Xuegong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011932/
https://www.ncbi.nlm.nih.gov/pubmed/35428192
http://dx.doi.org/10.1186/s12859-022-04664-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9011932/
https://www.ncbi.nlm.nih.gov/pubmed/35428192
http://dx.doi.org/10.1186/s12859-022-04664-4

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