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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 | 52 | 2020 |
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 | 38 | 2019 |
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 | 30 | 2019 |
Multi-channel graph attention autoencoders for disease-related lncRNAs prediction N Sheng, L Huang, Y Wang, J Zhao, P Xuan, L Gao, Y Cao Briefings in bioinformatics 23 (2), bbab604, 2022 | 27 | 2022 |
Data resources and computational methods for lncRNA-disease association prediction N Sheng, L Huang, Y Lu, H Wang, L Yang, L Gao, X Xie, Y Fu, Y Wang Computers in Biology and Medicine 153, 106527, 2023 | 25 | 2023 |
Multi-task prediction-based graph contrastive learning for inferring the relationship among lncRNAs, miRNAs and diseases N Sheng, Y Wang, L Huang, L Gao, Y Cao, X Xie, Y Fu Briefings in bioinformatics 24 (5), bbad276, 2023 | 24 | 2023 |
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 |
Prediction of drug–disease associations by integrating common topologies of heterogeneous networks and specific topologies of subnets L Gao, H Cui, T Zhang, N Sheng, P Xuan Briefings in Bioinformatics 23 (1), bbab467, 2022 | 12 | 2022 |
Predicting miRNA-disease associations based on PPMI and attention network X Xie, Y Wang, K He, N Sheng BMC bioinformatics 24 (1), 113, 2023 | 10 | 2023 |
A survey of deep learning for detecting miRNA-disease associations: databases, computational methods, challenges, and future directions N Sheng, X Xie, Y Wang, L Huang, S Zhang, L Gao, H Wang IEEE/ACM Transactions on Computational Biology and Bioinformatics, 2024 | 9 | 2024 |
A survey of computational methods and databases for lncRNA-miRNA interaction prediction N Sheng, L Huang, L Gao, Y Cao, X Xie, Y Wang IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (5 …, 2023 | 9 | 2023 |
Predicting miRNA-disease associations based on multi-view information fusion X Xie, Y Wang, N Sheng, S Zhang, Y Cao, Y Fu Frontiers in genetics 13, 979815, 2022 | 8 | 2022 |
MMGraph: a multiple motif predictor based on graph neural network and coexisting probability for ATAC-seq data S Zhang, L Yang, X Wu, N Sheng, Y Fu, A Ma, Y Wang Bioinformatics 38 (19), 4636-4638, 2022 | 7 | 2022 |
PromGER: Promoter Prediction Based on Graph Embedding and Ensemble Learning for Eukaryotic Sequence Y Wang, S Tai, S Zhang, N Sheng, X Xie Genes 14 (7), 1441, 2023 | 5 | 2023 |
Inferring drug-target interactions based on random walk and convolutional neural network X Xu, P Xuan, T Zhang, B Chen, N Sheng IEEE/ACM Transactions on Computational Biology and Bioinformatics 19 (4 …, 2021 | 5 | 2021 |
Learning neighbor-enhanced region representations and question-guided visual representations for visual question answering L Gao, H Zhang, N Sheng, L Shi, H Xu Expert Systems with Applications 238, 122239, 2024 | 4 | 2024 |
RDDriver: A novel method based on multi-layer heterogeneous transcriptional regulation network for identifying pancreatic cancer biomarker Y Lu, Y Wang, N Sheng, H Wang, Y Fu, Y Tian 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2022 | 3 | 2022 |
PGCL: Prompt guidance and self-supervised contrastive learning-based method for Visual Question Answering L Gao, H Zhang, Y Liu, N Sheng, H Feng, H Xu Expert Systems with Applications 251, 124011, 2024 | 2 | 2024 |
Graph pooling in graph neural networks: Methods and their applications in omics studies Y Wang, W Hou, N Sheng, Z Zhao, J Liu, L Huang, J Wang Artificial Intelligence Review 57 (11), 294, 2024 | 2 | 2024 |