HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou’s Five-Step Rule

HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou’s Five-Step Rule

Identifying new treatments for existing drugs can help reduce drug development costs and explore novel indications of drugs. The prediction of associations between drugs and diseases is challenging because their similarities and relations are complicated and non-linear. We propose a HeteroDualNet mo...

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Bibliographic Details
Main Authors: Ping Xuan, Hui Cui, Tonghui Shen, Nan Sheng, Tiangang Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-11-01
Series:Frontiers in Pharmacology
Subjects:
drug-disease association prediction
multiple kinds of similarities
neighbouring heterogeneous layer
deep learning
dual convolutional neural network
Online Access:https://www.frontiersin.org/article/10.3389/fphar.2019.01301/full

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