| Genome maps across 26 human populations reveal population-specific patterns of structural variation M Levy-Sakin, S Pastor, Y Mostovoy, L Li, AKY Leung, J McCaffrey, ... Nature communications 10 (1), 1025, 2019 | 152 | 2019 |
| Hybrid adaptive classifier ensemble Z Yu, L Li, J Liu, G Han IEEE transactions on cybernetics 45 (2), 177-190, 2014 | 119 | 2014 |
| Adaptive noise immune cluster ensemble using affinity propagation Z Yu, L Li, J Liu, J Zhang, G Han IEEE Transactions on Knowledge and Data Engineering 27 (12), 3176-3189, 2015 | 109 | 2015 |
| Adaptive fuzzy consensus clustering framework for clustering analysis of cancer data Z Yu, H Chen, J You, J Liu, HS Wong, G Han, L Li IEEE/ACM transactions on computational biology and bioinformatics 12 (4 …, 2014 | 94 | 2014 |
| Double selection based semi-supervised clustering ensemble for tumor clustering from gene expression profiles Z Yu, H Chen, J You, HS Wong, J Liu, L Li, G Han IEEE/ACM transactions on computational biology and bioinformatics 11 (4 …, 2014 | 86 | 2014 |
| Hybrid clustering solution selection strategy Z Yu, L Li, Y Gao, J You, J Liu, HS Wong, G Han Pattern Recognition 47 (10), 3362-3375, 2014 | 74 | 2014 |
| SC³: Triple spectral clustering-based consensus clustering framework for class discovery from cancer gene expression profiles Z Yu, L Li, J You, HS Wong, G Han IEEE/ACM Transactions on Computational Biology and Bioinformatics 9 (6 …, 2012 | 71 | 2012 |
| Hybrid fuzzy cluster ensemble framework for tumor clustering from biomolecular data Z Yu, H Chen, J You, G Han, L Li IEEE/ACM Transactions on Computational Biology and Bioinformatics 10 (3 …, 2013 | 67 | 2013 |
| Probabilistic cluster structure ensemble Z Yu, L Li, HS Wong, J You, G Han, Y Gao, G Yu Information Sciences 267, 16-34, 2014 | 42 | 2014 |
| OMSV enables accurate and comprehensive identification of large structural variations from nanochannel-based single-molecule optical maps L Li, AKY Leung, TP Kwok, YYY Lai, IK Pang, GTY Chung, ACY Mak, ... Genome biology 18, 1-19, 2017 | 39 | 2017 |
| ICN: a normalization method for gene expression data considering the over-expression of informative genes L Cheng, X Wang, PK Wong, KY Lee, L Li, B Xu, D Wang, KS Leung Molecular BioSystems 12 (10), 3057-3066, 2016 | 29 | 2016 |
| New guidelines for DNA methylome studies regarding 5-hydroxymethylcytosine for understanding transcriptional regulation L Li, Y Gao, Q Wu, ASL Cheng, KY Yip Genome Research 29 (4), 543-553, 2019 | 25 | 2019 |
| Deep learning methods for 3D structural proteome and interactome modeling D Lee, D Xiong, S Wierbowski, L Li, S Liang, H Yu Current opinion in structural biology 73, 102329, 2022 | 20 | 2022 |
| Implications of disease-related mutations at protein–protein interfaces D Xiong, D Lee, L Li, Q Zhao, H Yu Current opinion in structural biology 72, 219-225, 2022 | 19 | 2022 |
| Representative distance: a new similarity measure for class discovery from gene expression data Z Yu, J You, L Li, HS Wong, G Han IEEE Transactions on NanoBioscience 11 (4), 341-351, 2012 | 16 | 2012 |
| Multi-view based adaboost classifier ensemble for class prediction from gene expression profiles L Li, Z Yu, J Liu, J You, HS Wong, G Han 2014 22nd International Conference on Pattern Recognition, 178-183, 2014 | 5 | 2014 |
| Usom: Mining and visualizing uncertain data based on self-organizing maps L Li, X Zhang, Z Yu, Z Feng, R Wei 2011 International Conference on Machine Learning and Cybernetics 2, 804-809, 2011 | 5 | 2011 |
| Automatic classification of uncertain data by soft classifier L Li, Z Yu, Z Feng, X Zhang 2011 International Conference on Machine Learning and Cybernetics 2, 679-684, 2011 | 4 | 2011 |
| OMMA enables population-scale analysis of complex genomic features and phylogenomic relationships from nanochannel-based optical maps AKY Leung, MCJ Liu, L Li, YYY Lai, C Chu, PY Kwok, PL Ho, KY Yip, ... Gigascience 8 (7), giz079, 2019 | 3 | 2019 |
| Integrating information in biological ontologies and molecular networks to infer novel terms L Li, KY Yip Scientific Reports 6 (1), 39237, 2016 | 3 | 2016 |
Kevin Y YipSanford Burnham Prebys Medical Discovery Institute在 sbpdiscovery.org 的电子邮件经过验证
