| mGOASVM: Multi-label protein subcellular localization based on gene ontology and support vector machines S Wan, MW Mak, SY Kung BMC bioinformatics 13, 1-16, 2012 | 147 | 2012 |
| GOASVM: a subcellular location predictor by incorporating term-frequency gene ontology into the general form of Chou's pseudo-amino acid composition S Wan, MW Mak, SY Kung Journal of theoretical biology 323, 40-48, 2013 | 145 | 2013 |
| HybridGO-Loc: mining hybrid features on gene ontology for predicting subcellular localization of multi-location proteins S Wan, MW Mak, SY Kung PloS one 9 (3), e89545, 2014 | 73 | 2014 |
| mPLR-Loc: An adaptive decision multi-label classifier based on penalized logistic regression for protein subcellular localization prediction S Wan, MW Mak, SY Kung Analytical biochemistry 473, 14-27, 2015 | 62 | 2015 |
| A critical role for estrogen-related receptor signaling in cardiac maturation T Sakamoto, TR Matsuura, S Wan, DM Ryba, J Kim, KJ Won, L Lai, ... Circulation research 126 (12), 1685-1702, 2020 | 60 | 2020 |
| R3P-Loc: A compact multi-label predictor using ridge regression and random projection for protein subcellular localization S Wan, MW Mak, SY Kung Journal of theoretical biology 360, 34-45, 2014 | 45 | 2014 |
| Machine learning for protein subcellular localization prediction S Wan, MW Mak Machine Learning for Protein Subcellular Localization Prediction, 2015 | 44 | 2015 |
| SHARP: hyperfast and accurate processing of single-cell RNA-seq data via ensemble random projection S Wan, J Kim, KJ Won Genome research 30 (2), 205-213, 2020 | 43 | 2020 |
| Transductive learning for multi-label protein subchloroplast localization prediction S Wan, MW Mak, SY Kung IEEE/ACM transactions on computational biology and bioinformatics 14 (1 …, 2016 | 38 | 2016 |
| Ensemble linear neighborhood propagation for predicting subchloroplast localization of multi-location proteins S Wan, MW Mak, SY Kung Journal of proteome research 15 (12), 4755-4762, 2016 | 36 | 2016 |
| mLASSO-Hum: A LASSO-based interpretable human-protein subcellular localization predictor S Wan, MW Mak, SY Kung Journal of theoretical biology 382, 223-234, 2015 | 36 | 2015 |
| Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins S Wan, MW Mak, SY Kung BMC bioinformatics 17 (1), 1-17, 2016 | 35 | 2016 |
| FUEL-mLoc: feature-unified prediction and explanation of multi-localization of cellular proteins in multiple organisms S Wan, MW Mak, SY Kung Bioinformatics 33 (5), 749-750, 2017 | 32 | 2017 |
| Mem-ADSVM: A two-layer multi-label predictor for identifying multi-functional types of membrane proteins S Wan, MW Mak, SY Kung Journal of theoretical biology 398, 32-42, 2016 | 31 | 2016 |
| Mem-mEN: predicting multi-functional types of membrane proteins by interpretable elastic nets S Wan, MW Mak, SY Kung IEEE/ACM transactions on computational biology and bioinformatics 13 (4 …, 2015 | 27 | 2015 |
| Protein subcellular localization prediction based on profile alignment and Gene Ontology S Wan, MW Mak, SY Kung 2011 IEEE International Workshop on Machine Learning for Signal Processing, 1-6, 2011 | 26 | 2011 |
| Gram-LocEN: Interpretable prediction of subcellular multi-localization of Gram-positive and Gram-negative bacterial proteins S Wan, MW Mak, SY Kung Chemometrics and Intelligent Laboratory Systems 162, 1-9, 2017 | 25 | 2017 |
| Predicting subcellular localization of multi-location proteins by improving support vector machines with an adaptive-decision scheme S Wan, MW Mak International journal of machine learning and cybernetics 9, 399-411, 2018 | 22 | 2018 |
| Semantic similarity over gene ontology for multi-label protein subcellular localization S Wan, MW Mak, SY Kung Engineering 5 (10), 68, 2013 | 20 | 2013 |
| Adaptive thresholding for multi-label SVM classification with application to protein subcellular localization prediction S Wan, MW Mak, SY Kung 2013 IEEE International Conference on Acoustics, Speech and Signal …, 2013 | 20 | 2013 |
M.W. MakThe Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
