| Drug repositioning based on the heterogeneous information fusion graph convolutional network L Cai, C Lu, J Xu, Y Meng, P Wang, X Fu, X Zeng, Y Su Briefings in bioinformatics 22 (6), bbab319, 2021 | 109 | 2021 |
| CMF-Impute: an accurate imputation tool for single-cell RNA-seq data J Xu, L Cai, B Liao, W Zhu, JL Yang Bioinformatics 36 (10), 3139-3147, 2020 | 100 | 2020 |
| A weighted bilinear neural collaborative filtering approach for drug repositioning Y Meng, C Lu, M Jin, J Xu, X Zeng, J Yang Briefings in bioinformatics 23 (2), bbab581, 2022 | 94 | 2022 |
| Single-cell RNA-seq clustering: datasets, models, and algorithms L Peng, X Tian, G Tian, J Xu, X Huang, Y Weng, J Yang, L Zhou RNA biology 17 (6), 765-783, 2020 | 60 | 2020 |
| Graph embedding and Gaussian mixture variational autoencoder network for end-to-end analysis of single-cell RNA sequencing data J Xu, J Xu, Y Meng, C Lu, L Cai, X Zeng, R Nussinov, F Cheng Cell Reports Methods 3 (1), 2023 | 57 | 2023 |
| Indicator regularized non-negative matrix factorization method-based drug repurposing for COVID-19 X Tang, L Cai, Y Meng, JL Xu, C Lu, J Yang Frontiers in Immunology 11, 603615, 2021 | 56 | 2021 |
| Drug repositioning based on similarity constrained probabilistic matrix factorization: COVID-19 as a case study Y Meng, M Jin, X Tang, J Xu Applied soft computing 103, 107135, 2021 | 52 | 2021 |
| BPLLDA: predicting lncRNA-disease associations based on simple paths with limited lengths in a heterogeneous network X Xiao, W Zhu, B Liao, J Xu, C Gu, B Ji, Y Yao, L Peng, J Yang Frontiers in genetics 9, 411, 2018 | 44 | 2018 |
| Prioritizing antiviral drugs against SARS-CoV-2 by integrating viral complete genome sequences and drug chemical structures L Peng, L Shen, J Xu, X Tian, F Liu, J Wang, G Tian, J Yang, L Zhou Scientific reports 11 (1), 6248, 2021 | 37 | 2021 |
| Identifying potential miRNAs–disease associations with probability matrix factorization J Xu, L Cai, B Liao, W Zhu, P Wang, Y Meng, J Lang, G Tian, J Yang Frontiers in genetics 10, 1234, 2019 | 30 | 2019 |
| CapsNet-LDA: predicting lncRNA-disease associations using attention mechanism and capsule network based on multi-view data Z Zhang, J Xu, Y Wu, N Liu, Y Wang, Y Liang Briefings in Bioinformatics 24 (1), bbac531, 2023 | 28 | 2023 |
| LRMCMDA: predicting miRNA-disease association by integrating low-rank matrix completion with miRNA and disease similarity information J Xu, W Zhu, L Cai, B Liao, Y Meng, J Xiang, D Yuan, G Tian, J Yang IEEE Access 8, 80728-80738, 2020 | 25 | 2020 |
| Evaluating the performance of dropout imputation and clustering methods for single-cell RNA sequencing data J Xu, L Cui, J Zhuang, Y Meng, P Bing, B He, G Tian, CK Pui, T Wu, ... Computers in Biology and Medicine 146, 105697, 2022 | 19 | 2022 |
| A streamlined scRNA-Seq data analysis framework based on improved sparse subspace clustering J Zhuang, L Cui, T Qu, C Ren, J Xu, T Li, G Tian, J Yang IEEE Access 9, 9719-9727, 2021 | 19 | 2021 |
| Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder J Jiang, J Xu, Y Liu, B Song, X Guo, X Zeng, Q Zou Briefings in Bioinformatics 24 (3), bbad152, 2023 | 17 | 2023 |
| Inferring latent disease-lncRNA associations by faster matrix completion on a heterogeneous network W Li, S Wang, J Xu, G Mao, G Tian, J Yang Frontiers in genetics 10, 769, 2019 | 15 | 2019 |
| Computational drug repositioning using similarity constrained weight regularization matrix factorization: A case of COVID‐19 J Xu, Y Meng, L Peng, L Cai, X Tang, Y Liang, G Tian, J Yang Journal of Cellular and Molecular Medicine 26 (13), 3772-3782, 2022 | 14 | 2022 |
| Drug repositioning based on weighted local information augmented graph neural network Y Meng, Y Wang, J Xu, C Lu, X Tang, T Peng, B Zhang, G Tian, J Yang Briefings in Bioinformatics 25 (1), bbad431, 2024 | 13 | 2024 |
| A robust oversampling approach for class imbalance problem with small disjuncts Y Sun, L Cai, B Liao, W Zhu, J Xu IEEE Transactions on Knowledge and Data Engineering 35 (6), 5550-5562, 2022 | 11 | 2022 |
| IMDAILM: inferring miRNA-disease association by integrating lncRNA and miRNA data Y Yao, B Ji, S Shi, J Xu, X Xiao, E Yu, B Liao, J Yang IEEE Access 8, 16517-16527, 2019 | 10 | 2019 |
Xiangxiang ZengDeparment of Computer Science, Hunan UniversityVerified email at hnu.edu.cn
