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

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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Bibliographic Details
Main Authors:	Tianxing Ma, Qiao Liu, Haochen Li, Mu Zhou, Rui Jiang, Xuegong Zhang
Format:	Article
Language:	English
Published:	BMC 2022-04-01
Series:	BMC Bioinformatics
Subjects:	Cancer drug response Graph convolutional networks Protein–protein interactions Tumor heterogeneity
Online Access:	https://doi.org/10.1186/s12859-022-04664-4

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