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

Abstract 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 f...

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Main Authors: Tianxing Ma, Qiao Liu, Haochen Li, Mu Zhou, Rui Jiang, Xuegong Zhang
Formato: Artigo
Idioma:Inglês
Publicado em: BMC 2022-04-01
Colecção:BMC Bioinformatics
Assuntos:
Cancer drug response
Graph convolutional networks
Protein–protein interactions
Tumor heterogeneity
Acesso em linha:https://doi.org/10.1186/s12859-022-04664-4
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