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Tiangang Zhang

Showing results (21-30 of 66) with videos related to

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Frontiers in Pharmacology|November 30, 2019
HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction <i>via</i> Chou's Five-Step RulePing Xuan, Hui Cui, Tonghui Shen, et al.
Briefings in Bioinformatics|February 2, 2022
ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction predictionKaimiao Hu, Hui Cui, Tiangang Zhang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 4, 2018
Inferring disease-associated microRNAs in heterogeneous networks with node attributesPing Xuan, Tonghui Shen, Xiao Wang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 17, 2021
Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural NetworkXiaoqiang Xu, Ping Xuan, Tiangang Zhang, et al.
Briefings in Bioinformatics|February 9, 2022
Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association predictionHongda Zhang, Hui Cui, Tiangang Zhang, et al.
Frontiers in Genetics|May 28, 2019
Dual Convolutional Neural Networks With Attention Mechanisms Based Method for Predicting Disease-Related lncRNA GenesPing Xuan, Yangkun Cao, Tiangang Zhang, et al.
Briefings in Bioinformatics|April 8, 2022
Heterogeneous multi-scale neighbor topologies enhanced drug-disease association predictionPing Xuan, Xiangfeng Meng, Ling Gao, et al.
Briefings in Bioinformatics|April 1, 2022
Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAsPing Xuan, Zhe Gong, Hui Cui, et al.
Cells|September 5, 2019
Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease AssociationsPing Xuan, Shuxiang Pan, Tiangang Zhang, et al.
IEEE Journal of Biomedical and Health Informatics|November 20, 2020
Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease AssociationsPing Xuan, Ling Gao, Nan Sheng, et al.
Pageof 7

Showing results (21-30 of 66) with videos related to

Sort By:
Pageof 7
Frontiers in Pharmacology|November 30, 2019
HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction <i>via</i> Chou's Five-Step RulePing Xuan, Hui Cui, Tonghui Shen, et al.
Briefings in Bioinformatics|February 2, 2022
ALDPI: adaptively learning importance of multi-scale topologies and multi-modality similarities for drug-protein interaction predictionKaimiao Hu, Hui Cui, Tiangang Zhang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|October 4, 2018
Inferring disease-associated microRNAs in heterogeneous networks with node attributesPing Xuan, Tonghui Shen, Xiao Wang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|March 17, 2021
Inferring Drug-Target Interactions Based on Random Walk and Convolutional Neural NetworkXiaoqiang Xu, Ping Xuan, Tiangang Zhang, et al.
Briefings in Bioinformatics|February 9, 2022
Learning multi-scale heterogenous network topologies and various pairwise attributes for drug-disease association predictionHongda Zhang, Hui Cui, Tiangang Zhang, et al.
Frontiers in Genetics|May 28, 2019
Dual Convolutional Neural Networks With Attention Mechanisms Based Method for Predicting Disease-Related lncRNA GenesPing Xuan, Yangkun Cao, Tiangang Zhang, et al.
Briefings in Bioinformatics|April 8, 2022
Heterogeneous multi-scale neighbor topologies enhanced drug-disease association predictionPing Xuan, Xiangfeng Meng, Ling Gao, et al.
Briefings in Bioinformatics|April 1, 2022
Fully connected autoencoder and convolutional neural network with attention-based method for inferring disease-related lncRNAsPing Xuan, Zhe Gong, Hui Cui, et al.
Cells|September 5, 2019
Graph Convolutional Network and Convolutional Neural Network Based Method for Predicting lncRNA-Disease AssociationsPing Xuan, Shuxiang Pan, Tiangang Zhang, et al.
IEEE Journal of Biomedical and Health Informatics|November 20, 2020
Graph Convolutional Autoencoder and Fully-Connected Autoencoder with Attention Mechanism Based Method for Predicting Drug-Disease AssociationsPing Xuan, Ling Gao, Nan Sheng, et al.
Pageof 7