Predicting Drug Synergy and Discovering New Drug Combinations Based on a Graph Autoencoder and Convolutional Neural Network

被引:0
作者
Huijun Li
Lin Zou
Jamal A. H. Kowah
Dongqiong He
Lisheng Wang
Mingqing Yuan
Xu Liu
机构
[1] Guangxi University,School of Medicine
[2] Guangxi University,School of Chemistry and Chemical Engineering
来源
Interdisciplinary Sciences: Computational Life Sciences | 2023年 / 15卷
关键词
Drug synergy; Deep learning; Graph autoencoder; Graph convolutional neural network;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:316 / 330
页数:14
相关论文
共 253 条
[1]  
Yan X(2020)H-RACS: a handy tool to rank anti-cancer synergistic drugs Aging-US 12 21504-21517
[2]  
Yang Y(2019)Predicting drug synergy for precision medicine using network biology and machine learning J Bioinform Comput Biol 17 1950012-395
[3]  
Chen Z(2015)Prediction of synergism from chemical-genetic interactions by machine learning Cell Syst 1 383-444
[4]  
Yin Z(2015)Deep learning Nature 521 436-2376
[5]  
Deng Z(2021)Machine translation using deep learning for universal networking language based on their structure Int J Mach Learn Cybern 12 2365-129
[6]  
Qiu T(2017)Deep-learning systems for domain adaptation in computer vision: learning transferable feature representations IEEE Signal Process Mag 34 117-28
[7]  
Tang K(2018)Deep learning for environmentally robust speech recognition: an overview of recent developments ACM Trans Intell Syst Technol 9 1-219
[8]  
Cao Z(2019)Deep learning for audio signal processing IEEE J Selected Topics Signal Processing 13 206-28
[9]  
Cuvitoglu A(2018)Deep learning for environmentally robust speech recognition ACM Trans Intel Sys Tech 9 1-2117
[10]  
Zhou JX(2022)Bidirectional convolutional recurrent neural network architecture with group-wise enhancement mechanism for text sentiment classification J King Saud Univ-Com 34 2098-38