| The bioinformatics toolbox for circRNA discovery and analysis L Chen, C Wang, H Sun, J Wang, Y Liang, Y Wang, G Wong Briefings in bioinformatics 22 (2), 1706-1728, 2021 | 292 | 2021 |
| A novel quantum swarm evolutionary algorithm and its applications Y Wang, XY Feng, YX Huang, DB Pu, WG Zhou, YC Liang, CG Zhou Neurocomputing 70 (4-6), 633-640, 2007 | 205 | 2007 |
| Multimodal 3D DenseNet for IDH Genotype Prediction in Gliomas S Liang, R Zhang, D Liang, T Song, T Ai, C Xia, L Xia, Y Wang Genes 9 (8), 382, 2018 | 127 | 2018 |
| Prediction of regulatory motifs from human Chip-sequencing data using a deep learning framework J Yang, A Ma, AD Hoppe, C Wang, Y Li, C Zhang, Y Wang, B Liu, Q Ma Nucleic acids research 47 (15), 7809-7824, 2019 | 71 | 2019 |
| A review of matched-pairs feature selection methods for gene expression data analysis S Liang, A Ma, S Yang, Y Wang, Q Ma Computational and structural biotechnology journal 16, 88-97, 2018 | 71 | 2018 |
| Pep-3D-Search: a method for B-cell epitope prediction based on mimotope analysis YX Huang, YL Bao, SY Guo, Y Wang, CG Zhou, YX Li BMC bioinformatics 9, 1-17, 2008 | 70 | 2008 |
| A multi-approaches-guided genetic algorithm with application to operon prediction S Wang, Y Wang, W Du, F Sun, X Wang, C Zhou, Y Liang Artificial intelligence in medicine 41 (2), 151-159, 2007 | 69 | 2007 |
| Prediction of drought-resistant genes in Arabidopsis thaliana using SVM-RFE Y Liang, F Zhang, J Wang, T Joshi, Y Wang, D Xu PLoS one 6 (7), e21750, 2011 | 63 | 2011 |
| LncMirNet: predicting LncRNA–miRNA interaction based on deep learning of ribonucleic acid sequences S Yang, Y Wang, Y Lin, D Shao, K He, L Huang Molecules 25 (19), 4372, 2020 | 60 | 2020 |
| Human body-fluid proteome: quantitative profiling and computational prediction L Huang, D Shao, Y Wang, X Cui, Y Li, Q Chen, J Cui Briefings in bioinformatics 22 (1), 315-333, 2021 | 56 | 2021 |
| Link clustering with extended link similarity and EQ evaluation division L Huang, G Wang, Y Wang, E Blanzieri, C Su PloS one 8 (6), e66005, 2013 | 53 | 2013 |
| Classifying breast cancer subtypes using multiple kernel learning based on omics data M Tao, T Song, W Du, S Han, C Zuo, Y Li, Y Wang, Z Yang Genes 10 (3), 200, 2019 | 51 | 2019 |
| A computational systems biology study for understanding salt tolerance mechanism in rice J Wang, L Chen, Y Wang, J Zhang, Y Liang, D Xu PLoS one 8 (6), e64929, 2013 | 47 | 2013 |
| Gravitation field algorithm and its application in gene cluster M Zheng, G Liu, C Zhou, Y Liang, Y Wang Algorithms for Molecular Biology 5, 1-11, 2010 | 47 | 2010 |
| SVM learning from imbalanced data by GA sampling for protein domain prediction S Zou, Y Huang, Y Wang, J Wang, C Zhou 2008 the 9th international conference for young computer scientists, 982-987, 2008 | 43 | 2008 |
| Artificial intelligence in clinical research of cancers D Shao, Y Dai, N Li, X Cao, W Zhao, L Cheng, Z Rong, L Huang, Y Wang, ... Briefings in Bioinformatics 23 (1), bbab523, 2022 | 40 | 2022 |
| PMirP: a pre-microRNA prediction method based on structure–sequence hybrid features D Zhao, Y Wang, D Luo, X Shi, L Wang, D Xu, J Yu, Y Liang Artificial intelligence in medicine 49 (2), 127-132, 2010 | 40 | 2010 |
| Systematic analyses of glutamine and glutamate metabolisms across different cancer types Y Tian, W Du, S Cao, Y Wu, N Dong, Y Wang, Y Xu Chinese Journal of Cancer 36, 1-14, 2017 | 37 | 2017 |
| Computational prediction of human salivary proteins from blood circulation and application to diagnostic biomarker identification J Wang, Y Liang, Y Wang, J Cui, M Liu, W Du, Y Xu PLoS One 8 (11), e80211, 2013 | 37 | 2013 |
| Methods for labeling error detection in microarrays based on the effect of data perturbation on the regression model C Zhang, C Wu, E Blanzieri, Y Zhou, Y Wang, W Du, Y Liang Bioinformatics 25 (20), 2708-2714, 2009 | 37 | 2009 |
Wei DuJilin University, ChinaPatvirtintas el. paštas jlu.edu.cn