Graph convolutional network and convolutional neural network based method for predicting lncRNA-disease associations P Xuan, S Pan, T Zhang, Y Liu, H Sun Cells 8 (9), 1012, 2019 | 99 | 2019 |
Gradient boosting decision tree-based method for predicting interactions between target genes and drugs P Xuan, C Sun, T Zhang, Y Ye, T Shen, Y Dong Frontiers in genetics 10, 459, 2019 | 78 | 2019 |
Drug repositioning through integration of prior knowledge and projections of drugs and diseases P Xuan, Y Cao, T Zhang, X Wang, S Pan, T Shen Bioinformatics 35 (20), 4108-4119, 2019 | 74 | 2019 |
Dual convolutional neural networks with attention mechanisms based method for predicting disease-related lncRNA genes P Xuan, Y Cao, T Zhang, R Kong, Z Zhang Frontiers in genetics 10, 416, 2019 | 59 | 2019 |
A non-negative matrix factorization based method for predicting disease-associated miRNAs in miRNA-disease bilayer network Y Zhong, P Xuan, X Wang, T Zhang, J Li, Y Liu, W Zhang Bioinformatics 34 (2), 267-277, 2018 | 52 | 2018 |
Attentional multi-level representation encoding based on convolutional and variance autoencoders for lncRNA–disease association prediction N Sheng, H Cui, T Zhang, P Xuan Briefings in Bioinformatics 22 (3), bbaa067, 2021 | 47 | 2021 |
Graph convolutional autoencoder and generative adversarial network-based method for predicting drug-target interactions C Sun, P Xuan, T Zhang, Y Ye IEEE/ACM transactions on computational biology and bioinformatics 19 (1 …, 2020 | 47 | 2020 |
Inferring the disease-associated miRNAs based on network representation learning and convolutional neural networks P Xuan, H Sun, X Wang, T Zhang, S Pan International journal of molecular sciences 20 (15), 3648, 2019 | 44 | 2019 |
Graph convolutional autoencoder and fully-connected autoencoder with attention mechanism based method for predicting drug-disease associations P Xuan, L Gao, N Sheng, T Zhang, T Nakaguchi IEEE Journal of Biomedical and Health Informatics 25 (5), 1793-1804, 2020 | 41 | 2020 |
Convolutional neural network and bidirectional long short-term memory-based method for predicting drug–disease associations P Xuan, Y Ye, T Zhang, L Zhao, C Sun Cells 8 (7), 705, 2019 | 38 | 2019 |
CNNDLP: a method based on convolutional autoencoder and convolutional neural network with adjacent edge attention for predicting lncRNA–disease associations P Xuan, N Sheng, T Zhang, Y Liu, Y Guo International journal of molecular sciences 20 (17), 4260, 2019 | 34 | 2019 |
Dual convolutional neural network based method for predicting disease-related miRNAs P Xuan, Y Dong, Y Guo, T Zhang, Y Liu International journal of molecular sciences 19 (12), 3732, 2018 | 34 | 2018 |
LDAPred: a method based on information flow propagation and a convolutional neural network for the prediction of disease-associated lncRNAs P Xuan, L Jia, T Zhang, N Sheng, X Li, J Li International journal of molecular sciences 20 (18), 4458, 2019 | 27 | 2019 |
Prediction of drug–target interactions based on network representation learning and ensemble learning P Xuan, B Chen, T Zhang, Y Yang IEEE/ACM transactions on computational biology and bioinformatics 18 (6 …, 2020 | 25 | 2020 |
Inferring disease-associated microRNAs in heterogeneous networks with node attributes P Xuan, T Shen, X Wang, T Zhang, W Zhang IEEE/ACM Transactions on Computational Biology and Bioinformatics 17 (3 …, 2018 | 25 | 2018 |
Dynamic graph convolutional autoencoder with node-attribute-wise attention for kidney and tumor segmentation from CT volumes P Xuan, H Cui, H Zhang, T Zhang, L Wang, T Nakaguchi, HBL Duh Knowledge-Based Systems 236, 107360, 2022 | 23 | 2022 |
HeteroDualNet: A Dual Convolutional Neural Network With Heterogeneous Layers for Drug-Disease Association Prediction via Chou’s Five-Step Rule P Xuan, H Cui, T Shen, N Sheng, T Zhang Frontiers in pharmacology 10, 1301, 2019 | 21 | 2019 |
Graph triple-attention network for disease-related lncRNA prediction P Xuan, L Zhan, H Cui, T Zhang, T Nakaguchi, W Zhang IEEE journal of biomedical and health informatics 26 (6), 2839-2849, 2021 | 20 | 2021 |
Improved wall weight function with polygon boundary in moving particle semi-implicit method TG Zhang, S Koshizuka, K Shibata, K Murotani, E Ishii 日本計算工学会論文集 2015, 20150012-20150012, 2015 | 19 | 2015 |
Integrating multi-scale neighbouring topologies and cross-modal similarities for drug–protein interaction prediction P Xuan, Y Zhang, H Cui, T Zhang, M Guo, T Nakaguchi Briefings in Bioinformatics 22 (5), bbab119, 2021 | 18 | 2021 |