| ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks Y Li, J Hu, C Zhang, DJ Yu, Y Zhang Bioinformatics 35 (22), 4647-4655, 2019 | 171 | 2019 |
| Designing template-free predictor for targeting protein-ligand binding sites with classifier ensemble and spatial clustering DJ Yu, J Hu, J Yang, HB Shen, J Tang, JY Yang IEEE/ACM transactions on computational biology and bioinformatics 10 (4 …, 2013 | 140 | 2013 |
| Assembling multidomain protein structures through analogous global structural alignments X Zhou, J Hu, C Zhang, G Zhang, Y Zhang Proceedings of the National Academy of Sciences 116 (32), 15930-15938, 2019 | 112 | 2019 |
| Improving protein-ATP binding residues prediction by boosting SVMs with random under-sampling DJ Yu, J Hu, ZM Tang, HB Shen, J Yang, JY Yang Neurocomputing 104, 180-190, 2013 | 98 | 2013 |
| Predicting protein-DNA binding residues by weightedly combining sequence-based features and boosting multiple SVMs J Hu, Y Li, M Zhang, X Yang, HB Shen, DJ Yu IEEE/ACM transactions on computational biology and bioinformatics 14 (6 …, 2016 | 97 | 2016 |
| LS-align: an atom-level, flexible ligand structural alignment algorithm for high-throughput virtual screening J Hu, Z Liu, DJ Yu, Y Zhang Bioinformatics, 2018 | 82 | 2018 |
| TargetATPsite: A template‐free method for ATP‐binding sites prediction with residue evolution image sparse representation and classifier ensemble DJ Yu, J Hu, Y Huang, HB Shen, Y Qi, ZM Tang, JY Yang Journal of computational chemistry 34 (11), 974-985, 2013 | 82 | 2013 |
| DNAPred: accurate identification of DNA-binding sites from protein sequence by ensembled hyperplane-distance-based support vector machines YH Zhu, J Hu, XN Song, DJ Yu Journal of chemical information and modeling 59 (6), 3057-3071, 2019 | 74 | 2019 |
| ATPbind: accurate protein–ATP binding site prediction by combining sequence-profiling and structure-based comparisons J Hu, Y Li, Y Zhang, DJ Yu Journal of chemical information and modeling 58 (2), 501-510, 2018 | 66 | 2018 |
| A new supervised over-sampling algorithm with application to protein-nucleotide binding residue prediction J Hu, X He, DJ Yu, XB Yang, JY Yang, HB Shen PloS one 9 (9), e107676, 2014 | 62 | 2014 |
| TargetDBP: accurate DNA-binding protein prediction via sequence-based multi-view feature learning J Hu, XG Zhou, YH Zhu, DJ Yu, GJ Zhang IEEE/ACM transactions on computational biology and bioinformatics 17 (4 …, 2019 | 60 | 2019 |
| TargetFreeze: identifying antifreeze proteins via a combination of weights using sequence evolutionary information and pseudo amino acid composition X He, K Han, J Hu, H Yan, JY Yang, HB Shen, DJ Yu The Journal of membrane biology 248, 1005-1014, 2015 | 46 | 2015 |
| TargetCrys: protein crystallization prediction by fusing multi-view features with two-layered SVM J Hu, K Han, Y Li, JY Yang, HB Shen, DJ Yu Amino acids 48, 2533-2547, 2016 | 45 | 2016 |
| Constructing query-driven dynamic machine learning model with application to protein-ligand binding sites prediction DJ Yu, J Hu, QM Li, ZM Tang, JY Yang, HB Shen IEEE Transactions on Nanobioscience 14 (1), 45-58, 2015 | 42 | 2015 |
| Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble DJ Yu, J Hu, H Yan, XB Yang, JY Yang, HB Shen Bmc Bioinformatics 15, 1-14, 2014 | 40 | 2014 |
| GPCR–drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure J Hu, Y Li, JY Yang, HB Shen, DJ Yu Computational biology and chemistry 60, 59-71, 2016 | 34 | 2016 |
| KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning J Hu, Y Li, WX Yan, JY Yang, HB Shen, DJ Yu Neurocomputing 191, 363-373, 2016 | 29 | 2016 |
| scTPA: a web tool for single-cell transcriptome analysis of pathway activation signatures Y Zhang, Y Zhang, J Hu, J Zhang, F Guo, M Zhou, G Zhang, F Yu, J Su Bioinformatics 36 (14), 4217-4219, 2020 | 25 | 2020 |
| Learning protein multi-view features in complex space DJ Yu, J Hu, XW Wu, HB Shen, J Chen, ZM Tang, J Yang, JY Yang Amino Acids 44, 1365-1379, 2013 | 24 | 2013 |
| Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features YH Zhu, J Hu, F Ge, F Li, J Song, Y Zhang, DJ Yu Briefings in Bioinformatics 22 (3), bbaa076, 2021 | 23 | 2021 |
Dong-Jun YuNanjing University of Science and TechnologyAdresse e-mail validée de njust.edu.cn
