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Ping Xuan

Showing results (11-20 of 119) with videos related to

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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.
Plos One|November 24, 2011
MaturePred: efficient identification of microRNAs within novel plant pre-miRNAsPing Xuan, Maozu Guo, Yangchao Huang, 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.
International Journal of Molecular Sciences|April 12, 2022
Integration of Neighbor Topologies Based on Meta-Paths and Node Attributes for Predicting Drug-Related DiseasesPing Xuan, Zixuan Lu, Tiangang Zhang, et al.
Briefings in Bioinformatics|December 1, 2021
Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnetsLing Gao, Hui Cui, Tiangang Zhang, et al.
Genes|September 11, 2019
Predicting miRNA-Disease Associations by Incorporating Projections in Low-Dimensional Space and Local Topological InformationPing Xuan, Yan Zhang, Tiangang Zhang, et al.
Pageof 12

Showing results (11-20 of 119) with videos related to

Sort By:
Pageof 12
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.
Plos One|November 24, 2011
MaturePred: efficient identification of microRNAs within novel plant pre-miRNAsPing Xuan, Maozu Guo, Yangchao Huang, 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.
International Journal of Molecular Sciences|April 12, 2022
Integration of Neighbor Topologies Based on Meta-Paths and Node Attributes for Predicting Drug-Related DiseasesPing Xuan, Zixuan Lu, Tiangang Zhang, et al.
Briefings in Bioinformatics|December 1, 2021
Prediction of drug-disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnetsLing Gao, Hui Cui, Tiangang Zhang, et al.
Genes|September 11, 2019
Predicting miRNA-Disease Associations by Incorporating Projections in Low-Dimensional Space and Local Topological InformationPing Xuan, Yan Zhang, Tiangang Zhang, et al.
Pageof 12