| LDAP: a web server for lncRNA-disease association prediction W Lan, M Li, K Zhao, J Liu, FX Wu, Y Pan, J Wang Bioinformatics 33 (3), 458-460, 2017 | 190 | 2017 |
| Classification of Alzheimer's disease using whole brain hierarchical network J Liu, M Li, W Lan, FX Wu, Y Pan, J Wang IEEE/ACM transactions on computational biology and bioinformatics 15 (2 …, 2016 | 179 | 2016 |
| Complex brain network analysis and its applications to brain disorders: a survey J Liu, M Li, Y Pan, W Lan, R Zheng, FX Wu, J Wang Complexity 2017, 2017 | 145 | 2017 |
| Predicting microRNA-disease associations based on improved microRNA and disease similarities W Lan, J Wang, M Li, J Liu, FX Wu, Y Pan IEEE/ACM transactions on computational biology and bioinformatics 15 (6 …, 2018 | 120 | 2018 |
| Predicting drug–target interaction using positive-unlabeled learning W Lan, J Wang, M Li, J Liu, Y Li, FX Wu, Y Pan Neurocomputing 206, 50-57, 2016 | 95 | 2016 |
| Computational approaches for prioritizing candidate disease genes based on PPI networks W Lan, J Wang, M Li, W Peng, F Wu Tsinghua Science and Technology 20 (5), 500-512, 2015 | 69 | 2015 |
| DNRLMF-MDA: predicting microRNA-disease associations based on similarities of microRNAs and diseases C Yan, J Wang, P Ni, W Lan, FX Wu, Y Pan IEEE/ACM transactions on computational biology and bioinformatics 16 (1 …, 2017 | 66 | 2017 |
| ILDMSF: inferring associations between long non-coding RNA and disease based on multi-similarity fusion Q Chen, D Lai, W Lan, X Wu, B Chen, J Liu, YPP Chen, J Wang IEEE/ACM transactions on computational biology and bioinformatics 18 (3 …, 2021 | 56 | 2021 |
| LDICDL: LncRNA-disease association identification based on collaborative deep learning W Lan, D Lai, Q Chen, X Wu, B Chen, J Liu, J Wang, YPP Chen IEEE/ACM transactions on computational biology and bioinformatics 19 (3 …, 2022 | 48 | 2022 |
| Improved ASD classification using dynamic functional connectivity and multi-task feature selection J Liu, Y Sheng, W Lan, R Guo, Y Wang, J Wang Pattern Recognition Letters 138, 82-87, 2020 | 47 | 2020 |
| GANLDA: graph attention network for lncRNA-disease associations prediction W Lan, X Wu, Q Chen, W Peng, J Wang, YP Chen Neurocomputing 469, 384-393, 2022 | 41 | 2022 |
| Inferring LncRNA-disease associations based on graph autoencoder matrix completion X Wu, W Lan, Q Chen, Y Dong, J Liu, W Peng Computational biology and chemistry 87, 107282, 2020 | 37 | 2020 |
| A comprehensive survey on computational methods of non-coding RNA and disease association prediction X Lei, TB Mudiyanselage, Y Zhang, C Bian, W Lan, N Yu, Y Pan Briefings in Bioinformatics, 2020 | 37 | 2020 |
| A framework for integrating multiple biological networks to predict MicroRNA-disease associations W Peng, W Lan, Z Yu, J Wang, Y Pan IEEE transactions on nanobioscience 16 (2), 100-107, 2016 | 30 | 2016 |
| Identification of early mild cognitive impairment using multi-modal data and graph convolutional networks J Liu, G Tan, W Lan, J Wang BMC Bioinformatics 21 (6), 1-12, 2020 | 29 | 2020 |
| KGANCDA: predicting circRNA-disease associations based on knowledge graph attention network W Lan, Y Dong, Q Chen, R Zheng, J Liu, Y Pan, YPP Chen Briefings in Bioinformatics 23 (1), bbab494, 2022 | 27 | 2022 |
| Sdtrls: Predicting drug-target interactions for complex diseases based on chemical substructures C Yan, J Wang, W Lan, FX Wu, Y Pan Complexity 2017, 2017 | 26 | 2017 |
| A novel method of predicting microRNA-disease associations based on microRNA, disease, gene and environment factor networks W Peng, W Lan, J Zhong, J Wang, Y Pan Methods 124, 69-77, 2017 | 25 | 2017 |
| CircR2Cancer: a manually curated database of associations between circRNAs and cancers W Lan, M Zhu, Q Chen, B Chen, J Liu, M Li, YPP Chen Database 2020, baaa085, 2020 | 23 | 2020 |
| Mining featured patterns of MiRNA interaction based on sequence and structure similarity Q Chen, W Lan, J Wang IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (2 …, 2013 | 23 | 2013 |
Jianxin WangSchool of Computer Science and Engineering, Central South university在 mail.csu.edu.cn 的电子邮件经过验证
