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Scientific Reports|December 10, 2015
A simple feature construction method for predicting upstream/downstream signal flow in human protein-protein interaction networksSuyu Mei, Hao ZhuPlos One|October 21, 2014
AdaBoost based multi-instance transfer learning for predicting proteome-wide interactions between Salmonella and human proteinsSuyu Mei, Hao ZhuScientific Reports|January 27, 2015
A novel one-class SVM based negative data sampling method for reconstructing proteome-wide HTLV-human protein interaction networksSuyu Mei, Hao ZhuBMC Bioinformatics|January 1, 2016
Multi-label multi-instance transfer learning for simultaneous reconstruction and cross-talk modeling of multiple human signaling pathwaysSuyu Mei, Hao ZhuBMC Bioinformatics|July 20, 2014
Computational reconstruction of proteome-wide protein interaction networks between HTLV retroviruses and Homo sapiensSuyu Mei, Hao ZhuPlos One|June 22, 2012
Multi-label multi-kernel transfer learning for human protein subcellular localizationSuyu MeiPest Management Science|July 16, 2025
Quantifying tolerances or maximum residue limits of pesticide in food commodities via deep neural networksSuyu MeiComparative Biochemistry and Physiology. Toxicology & Pharmacology : CBP|June 26, 2026
Integrative QSAR modelling of multi-species pesticide baseline (narcosis) toxicitySuyu MeiEnvironmental Science and Pollution Research International|February 1, 2025
Single-task regression naturally adapts to multi-species (eco)toxicological modelling: a case study on animalsSuyu MeiThe Science of the Total Environment|August 9, 2024
Transferring knowledge across aquatic species via clustering techniques to unravel patterns of pesticide toxicitySuyu MeiPageof 161