| MicroRNAs and complex diseases: from experimental results to computational models X Chen, D Xie, Q Zhao, ZH You Briefings in bioinformatics 20 (2), 515-539, 2019 | 501 | 2019 |
| BNPMDA: bipartite network projection for MiRNA–disease association prediction X Chen, D Xie, L Wang, Q Zhao, ZH You, H Liu Bioinformatics 34 (18), 3178-3186, 2018 | 287 | 2018 |
| EGBMMDA: extreme gradient boosting machine for MiRNA-disease association prediction X Chen, L Huang, D Xie, Q Zhao Cell death & disease 9 (1), 3, 2018 | 253 | 2018 |
| CarcinoPred-EL: Novel models for predicting the carcinogenicity of chemicals using molecular fingerprints and ensemble learning methods L Zhang, H Ai, W Chen, Z Yin, H Hu, J Zhu, J Zhao, Q Zhao, H Liu Scientific reports 7 (1), 2118, 2017 | 190 | 2017 |
| Using network distance analysis to predict lncRNA–miRNA interactions L Zhang, P Yang, H Feng, Q Zhao, H Liu Interdisciplinary sciences: computational life sciences 13, 535-545, 2021 | 144 | 2021 |
| A deep learning method for predicting metabolite–disease associations via graph neural network F Sun, J Sun, Q Zhao Briefings in bioinformatics 23 (4), bbac266, 2022 | 142 | 2022 |
| Predicting the potential human lncRNA–miRNA interactions based on graph convolution network with conditional random field W Wang, L Zhang, J Sun, Q Zhao, J Shuai Briefings in bioinformatics 23 (6), bbac463, 2022 | 137 | 2022 |
| 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 | 127 | 2021 |
| Investigating cardiotoxicity related with hERG channel blockers using molecular fingerprints and graph attention mechanism T Wang, J Sun, Q Zhao Computers in biology and medicine 153, 106464, 2023 | 116 | 2023 |
| Predicting lncRNA–miRNA interactions based on logistic matrix factorization with neighborhood regularized H Liu, G Ren, H Chen, Q Liu, Y Yang, Q Zhao Knowledge-Based Systems 191, 105261, 2020 | 114 | 2020 |
| HLPI-ensemble: prediction of human lncRNA-protein interactions based on ensemble strategy H Hu, L Zhang, H Ai, H Zhang, Y Fan, Q Zhao, H Liu RNA biology 15 (6), 797-806, 2018 | 98 | 2018 |
| Integrating bipartite network projection and KATZ measure to identify novel CircRNA-disease associations Q Zhao, Y Yang, G Ren, E Ge, C Fan IEEE transactions on nanobioscience 18 (4), 578-584, 2019 | 96 | 2019 |
| IRWNRLPI: integrating random walk and neighborhood regularized logistic matrix factorization for lncRNA-protein interaction prediction Q Zhao, Y Zhang, H Hu, G Ren, W Zhang, H Liu Frontiers in genetics 9, 239, 2018 | 80 | 2018 |
| Identification of miRNA–disease associations via deep forest ensemble learning based on autoencoder W Liu, H Lin, L Huang, L Peng, T Tang, Q Zhao, L Yang Briefings in Bioinformatics 23 (3), bbac104, 2022 | 75 | 2022 |
| Predicting lncRNA–miRNA interactions based on interactome network and graphlet interaction L Zhang, T Liu, H Chen, Q Zhao, H Liu Genomics 113 (3), 874-880, 2021 | 74 | 2021 |
| The bipartite network projection-recommended algorithm for predicting long non-coding RNA-protein interactions Q Zhao, H Yu, Z Ming, H Hu, G Ren, H Liu Molecular Therapy-Nucleic Acids 13, 464-471, 2018 | 73 | 2018 |
| Predicting drug-induced liver injury using ensemble learning methods and molecular fingerprints H Ai, W Chen, L Zhang, L Huang, Z Yin, H Hu, Q Zhao, J Zhao, H Liu Toxicological Sciences 165 (1), 100-107, 2018 | 73 | 2018 |
| Melatonin inhibiting the survival of human gastric cancer cells under ER stress involving autophagy and Ras‐Raf‐MAPK signalling Y Huang, K Yuan, M Tang, J Yue, L Bao, S Wu, Y Zhang, Y Li, Y Wang, ... Journal of Cellular and Molecular Medicine 25 (3), 1480-1492, 2021 | 69 | 2021 |
| LPI-ETSLP: lncRNA–protein interaction prediction using eigenvalue transformation-based semi-supervised link prediction H Hu, C Zhu, H Ai, L Zhang, J Zhao, Q Zhao, H Liu Molecular BioSystems 13 (9), 1781-1787, 2017 | 69 | 2017 |
| Gene function and cell surface protein association analysis based on single-cell multiomics data H Hu, Z Feng, H Lin, J Cheng, J Lyu, Y Zhang, J Zhao, F Xu, T Lin, Q Zhao, ... Computers in Biology and Medicine 157, 106733, 2023 | 67 | 2023 |
