| Circular RNAs and complex diseases: from experimental results to computational models CC Wang, CD Han, Q Zhao, X Chen Briefings in bioinformatics 22 (6), bbab286, 2021 | 129 | 2021 |
| Deep-belief network for predicting potential miRNA-disease associations X Chen, TH Li, Y Zhao, CC Wang, CC Zhu Briefings in bioinformatics 22 (3), bbaa186, 2021 | 123 | 2021 |
| Novel human miRNA-disease association inference based on random forest X Chen, CC Wang, J Yin, ZH You Molecular Therapy-Nucleic Acids 13, 568-579, 2018 | 103 | 2018 |
| Anticancer drug response prediction in cell lines using weighted graph regularized matrix factorization NN Guan, Y Zhao, CC Wang, JQ Li, X Chen, X Piao Molecular therapy-nucleic acids 17, 164-174, 2019 | 70 | 2019 |
| Predicting potential small molecule–miRNA associations based on bounded nuclear norm regularization X Chen, C Zhou, CC Wang, Y Zhao Briefings in Bioinformatics 22 (6), bbab328, 2021 | 54 | 2021 |
| Prediction of potential miRNA–disease associations based on stacked autoencoder CC Wang, TH Li, L Huang, X Chen Briefings in bioinformatics 23 (2), bbac021, 2022 | 41 | 2022 |
| RFSMMA: a new computational model to identify and prioritize potential small molecule–mirna associations CC Wang, X Chen, J Qu, YZ Sun, JQ Li Journal of chemical information and modeling 59 (4), 1668-1679, 2019 | 41 | 2019 |
| Potential miRNA-disease association prediction based on kernelized Bayesian matrix factorization X Chen, SX Li, J Yin, CC Wang Genomics 112 (1), 809-819, 2020 | 39 | 2020 |
| Prediction of small molecule–microRNA associations by sparse learning and heterogeneous graph inference J Yin, X Chen, CC Wang, Y Zhao, YZ Sun Molecular pharmaceutics 16 (7), 3157-3166, 2019 | 37 | 2019 |
| An integrated framework for the identification of potential miRNA-disease association based on novel negative samples extraction strategy CC Wang, X Chen, J Yin, J Qu RNA biology 16 (3), 257-269, 2019 | 37 | 2019 |
| Drug-pathway association prediction: from experimental results to computational models CC Wang, Y Zhao, X Chen Briefings in bioinformatics 22 (3), bbaa061, 2021 | 36 | 2021 |
| Predicting drug–target binding affinity through molecule representation block based on multi-head attention and skip connection L Zhang, CC Wang, X Chen Briefings in Bioinformatics 23 (6), bbac468, 2022 | 33 | 2022 |
| Ensemble of kernel ridge regression-based small molecule–miRNA association prediction in human disease CC Wang, CC Zhu, X Chen Briefings in Bioinformatics 23 (1), bbab431, 2022 | 32 | 2022 |
| Microbes and complex diseases: from experimental results to computational models Y Zhao, CC Wang, X Chen Briefings in Bioinformatics 22 (3), bbaa158, 2021 | 32 | 2021 |
| SNRMPACDC: computational model focused on Siamese network and random matrix projection for anticancer synergistic drug combination prediction TH Li, CC Wang, L Zhang, X Chen Briefings in Bioinformatics 24 (1), bbac503, 2023 | 31 | 2023 |
| A unified framework for the prediction of small molecule–MicroRNA association based on cross-layer dependency inference on multilayered networks CC Wang, X Chen Journal of chemical information and modeling 59 (12), 5281-5293, 2019 | 23 | 2019 |
| Dual-network collaborative matrix factorization for predicting small molecule-miRNA associations SH Wang, CC Wang, L Huang, LY Miao, X Chen Briefings in Bioinformatics 23 (1), bbab500, 2022 | 22 | 2022 |
| Identification of miRNA–disease associations via multiple information integration with Bayesian ranking CC Zhu, CC Wang, Y Zhao, M Zuo, X Chen Briefings in Bioinformatics 22 (6), bbab302, 2021 | 19 | 2021 |
| MCFF-MTDDI: multi-channel feature fusion for multi-typed drug–drug interaction prediction CD Han, CC Wang, L Huang, X Chen Briefings in Bioinformatics 24 (4), bbad215, 2023 | 17 | 2023 |
| Computational models in non-coding RNA and human disease X Chen, CC Wang, NN Guan International Journal of Molecular Sciences 21 (5), 1557, 2020 | 12 | 2020 |
Xing ChenJiangnan University在 amss.ac.cn 的电子邮件经过验证
