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Tiangang Zhang

Showing results (1-10 of 66) with videos related to

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IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 29, 2020
Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble LearningPing Xuan, Bingxu Chen, Tiangang Zhang, et al.
BMC Bioinformatics|June 7, 2020
Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentionsTong Wang, Ping Xuan, Zonglin Liu, et al.
Briefings in Bioinformatics|May 24, 2020
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association predictionNan Sheng, Hui Cui, Tiangang Zhang, et al.
International Journal of Molecular Sciences|August 25, 2019
Prediction of Potential Drug-Disease Associations through Deep Integration of Diversity and Projections of Various Drug FeaturesPing Xuan, Yingying Song, Tiangang Zhang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 6, 2020
Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target InteractionsChang Sun, Ping Xuan, Tiangang Zhang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor SegmentationYing Liu, Hui Cui, Tiangang Zhang, et al.
International Journal of Molecular Sciences|September 5, 2019
CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease AssociationsPing Xuan, Nan Sheng, Tiangang Zhang, et al.
Molecules (Basel, Switzerland)|August 29, 2019
Prediction of Disease-related microRNAs through Integrating Attributes of microRNA Nodes and Multiple Kinds of Connecting EdgesPing Xuan, Lingling Li, Tiangang Zhang, et al.
International Journal of Molecular Sciences|July 28, 2019
Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural NetworksPing Xuan, Hao Sun, Xiao Wang, et al.
IEEE Journal of Biomedical and Health Informatics|October 21, 2021
Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction PredictionPing Xuan, Kaimiao Hu, Hui Cui, et al.
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Showing results (1-10 of 66) with videos related to

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Pageof 7
IEEE/ACM Transactions on Computational Biology and Bioinformatics|April 29, 2020
Prediction of Drug-Target Interactions Based on Network Representation Learning and Ensemble LearningPing Xuan, Bingxu Chen, Tiangang Zhang, et al.
BMC Bioinformatics|June 7, 2020
Assistant diagnosis with Chinese electronic medical records based on CNN and BiLSTM with phrase-level and word-level attentionsTong Wang, Ping Xuan, Zonglin Liu, et al.
Briefings in Bioinformatics|May 24, 2020
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA-disease association predictionNan Sheng, Hui Cui, Tiangang Zhang, et al.
International Journal of Molecular Sciences|August 25, 2019
Prediction of Potential Drug-Disease Associations through Deep Integration of Diversity and Projections of Various Drug FeaturesPing Xuan, Yingying Song, Tiangang Zhang, et al.
IEEE/ACM Transactions on Computational Biology and Bioinformatics|August 6, 2020
Graph Convolutional Autoencoder and Generative Adversarial Network-Based Method for Predicting Drug-Target InteractionsChang Sun, Ping Xuan, Tiangang Zhang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|December 11, 2021
Integrating Channel Context Attention and Regional Association Attention for Kidney and Tumor SegmentationYing Liu, Hui Cui, Tiangang Zhang, et al.
International Journal of Molecular Sciences|September 5, 2019
CNNDLP: A Method Based on Convolutional Autoencoder and Convolutional Neural Network with Adjacent Edge Attention for Predicting lncRNA-Disease AssociationsPing Xuan, Nan Sheng, Tiangang Zhang, et al.
Molecules (Basel, Switzerland)|August 29, 2019
Prediction of Disease-related microRNAs through Integrating Attributes of microRNA Nodes and Multiple Kinds of Connecting EdgesPing Xuan, Lingling Li, Tiangang Zhang, et al.
International Journal of Molecular Sciences|July 28, 2019
Inferring the Disease-Associated miRNAs Based on Network Representation Learning and Convolutional Neural NetworksPing Xuan, Hao Sun, Xiao Wang, et al.
IEEE Journal of Biomedical and Health Informatics|October 21, 2021
Learning Multi-Scale Heterogeneous Representations and Global Topology for Drug-Target Interaction PredictionPing Xuan, Kaimiao Hu, Hui Cui, et al.
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