| An overview of SNP interactions in genome-wide association studies P Li, M Guo, C Wang, X Liu, Q Zou Briefings in functional genomics 14 (2), 143-155, 2015 | 134 | 2015 |
| Measuring gene functional similarity based on group-wise comparison of GO terms Z Teng, M Guo, X Liu, Q Dai, C Wang, P Xuan Bioinformatics 29 (11), 1424-1432, 2013 | 109 | 2013 |
| MiRTDL: a deep learning approach for miRNA target prediction S Cheng, M Guo, C Wang, X Liu, Y Liu, X Wu IEEE/ACM transactions on computational biology and bioinformatics 13 (6 …, 2015 | 95 | 2015 |
| RFAmyloid: a web server for predicting amyloid proteins M Niu, Y Li, C Wang, K Han International journal of molecular sciences 19 (7), 2071, 2018 | 87 | 2018 |
| GMNN2CD: identification of circRNA–disease associations based on variational inference and graph Markov neural networks M Niu, Q Zou, C Wang Bioinformatics 38 (8), 2246-2253, 2022 | 75 | 2022 |
| A novel insight into Gene Ontology semantic similarity Y Xu, M Guo, W Shi, X Liu, C Wang Genomics 101 (6), 368-375, 2013 | 73 | 2013 |
| Human protein subcellular localization with integrated source and multi-label ensemble classifier X Guo, F Liu, Y Ju, Z Wang, C Wang Scientific Reports 6 (1), 28087, 2016 | 63 | 2016 |
| Approaches for recognizing disease genes based on network Q Zou, J Li, C Wang, X Zeng BioMed research international 2014 (1), 416323, 2014 | 61 | 2014 |
| A novel protein subcellular localization method with CNN-XGBoost model for Alzheimer's disease L Pang, J Wang, L Zhao, C Wang, H Zhan Frontiers in genetics 9, 751, 2019 | 56 | 2019 |
| Computational approaches in detecting non-coding RNA C Wang, L Wei, M Guo, Q Zou Current genomics 14 (6), 371-377, 2013 | 54 | 2013 |
| Machine learning and its applications in plant molecular studies S Sun, C Wang, H Ding, Q Zou Briefings in functional genomics 19 (1), 40-48, 2020 | 53 | 2020 |
| Critical downstream analysis steps for single-cell RNA sequencing data Z Zhang, F Cui, C Lin, L Zhao, C Wang, Q Zou Briefings in bioinformatics 22 (5), bbab105, 2021 | 50 | 2021 |
| imDC: an ensemble learning method for imbalanced classification with miRNA data CY Wang, L Hu, MZ Guo, X Liu, Q Zou Genetics and molecular research 14 (1), 123-133, 2015 | 49 | 2015 |
| A cancer survival prediction method based on graph convolutional network C Wang, J Guo, N Zhao, Y Liu, X Liu, G Liu, M Guo IEEE transactions on nanobioscience 19 (1), 117-126, 2019 | 47 | 2019 |
| Goals and approaches for each processing step for single-cell RNA sequencing data Z Zhang, F Cui, C Wang, L Zhao, Q Zou Briefings in Bioinformatics 22 (4), bbaa314, 2021 | 44 | 2021 |
| ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding J Wang, NF Wen, C Wang, L Zhao, L Cheng Journal of cheminformatics 14 (1), 14, 2022 | 43 | 2022 |
| A brief review of protein–ligand interaction prediction L Zhao, Y Zhu, J Wang, N Wen, C Wang, L Cheng Computational and Structural Biotechnology Journal 20, 2831-2838, 2022 | 42 | 2022 |
| Cross-modality hierarchical clustering and refinement for unsupervised visible-infrared person re-identification Z Pang, C Wang, L Zhao, Y Liu, G Sharma IEEE Transactions on circuits and systems for video technology 34 (4), 2706-2718, 2023 | 41 | 2023 |
| Deep learning models for disease-associated circRNA prediction: a review Y Chen, J Wang, C Wang, M Liu, Q Zou Briefings in bioinformatics 23 (6), bbac364, 2022 | 41 | 2022 |
| Inferring the soybean (Glycine max) microRNA functional network based on target gene network Y Xu, M Guo, X Liu, C Wang, Y Liu Bioinformatics 30 (1), 94-103, 2014 | 41 | 2014 |
Quan Zou (邹权)University of Electronic Science and Technology of ChinaПідтверджена електронна адреса в nclab.net