Publications

Book
S. Wan and M. - W. Mak, Machine learning for protein subcellular localization prediction. Berlin: De Gruyter, 2015. Publisher's Version
Conference Paper
S. Wan, M. - W. Mak, B. Zhang, Y. Wang, and S. - Y. Kung, “Ensemble random projection for multi-label classification with application to protein subcellular localization,” in 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Florence, 2014, pp. 5999–6003. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “Adaptive thresholding for multi-label SVM classification with application to protein subcellular localization prediction,” in 2013 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Vancouver, 2013, pp. 3547–3551. Publisher's Version
S. Wan, M. - W. Mak, B. Zhang, Y. Wang, and S. - Y. Kung, “An ensemble classifier with random projection for predicting multi-label protein subcellular localization,” in Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on, Shanghai, 2013, pp. 35–42. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “GOASVM: Protein subcellular localization prediction based on gene ontology annotation and SVM,” in 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Kyoto, 2012, pp. 2229–2232. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “Protein subcellular localization prediction based on profile alignment and Gene Ontology,” in 2011 IEEE International Workshop on Machine Learning for Signal Processing, Beijing, 2011, pp. 1–6. Publisher's Version
S. Wan, C. Yao, Y. Hu, and G. Zhang, “A Method of Continuous Data Flow Embedded within Speech Signals,” in Signal Acquisition and Processing, 2010. ICSAP'10. International Conference on, Bangalore, 2010, pp. 362–365. Publisher's Version
Journal Article
S. Wan and M. - W. Mak, “Predicting subcellular localization of multi-location proteins by improving support vector machines with an adaptive-decision scheme,” International Journal of Machine Learning and Cybernetics, pp. 1–13, In Press. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “Gram-LocEN: Interpretable prediction of subcellular multi-localization of Gram-positive and Gram-negative bacterial proteins,” Chemometrics and Intelligent Laboratory Systems, vol. 162, pp. 1-9, 2017. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “FUEL-mLoc: Feature-Unified Prediction and Explanation of Multi-Localization of Cellular Proteins in Multiple Organisms,” Bioinformatics, vol. 33, no. 5, pp. 749-750, 2017. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “Transductive Learning for Multi-Label Protein Subchloroplast Localization Prediction,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 14, no. 1, pp. 212-224, 2017. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “Ensemble Linear Neighborhood Propagation for Predicting Subchloroplast Localization of Multi-Location Proteins,” Journal of Proteome Research, vol. 15, no. 12, pp. 4755-4762, 2016. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “Mem-mEN: predicting multi-functional types of membrane proteins by interpretable elastic nets,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 13, no. 4, pp. 706-718, 2016. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “Benchmark data for identifying multi-functional types of membrane proteins,” Data in Brief, vol. 8, pp. 105–107, 2016. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “Mem-ADSVM: a two-layer multi-label predictor for identifying multi-functional types of membrane proteins,” Journal of Theoretical Biology, vol. 398, pp. 32–42, 2016. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “Sparse regressions for predicting and interpreting subcellular localization of multi-label proteins,” BMC Bioinformatics, vol. 17, pp. 97, 2016. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “mLASSO-Hum: A LASSO-based interpretable human-protein subcellular localization predictor,” Journal of Theoretical Biology, vol. 382, pp. 223–234, 2015. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “mPLR-Loc: An adaptive decision multi-label classifier based on penalized logistic regression for protein subcellular localization prediction,” Analytical Biochemistry, vol. 473, pp. 14–27, 2015. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “HybridGO-Loc: Mining hybrid features on gene ontology for predicting subcellular localization of multi-location proteins,” PLoS One, vol. 9, pp. e89545, 2014. Publisher's Version
S. Wan, M. - W. Mak, and S. - Y. Kung, “R3P-Loc: A compact multi-label predictor using ridge regression and random projection for protein subcellular localization,” Journal of Theoretical Biology, vol. 360, pp. 34–45, 2014. Publisher's Version

Pages