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...

Full description

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

Internet

https://doi.org/10.1186/s12859-022-04664-4

Similar Items