Suyu Mei

发表

A novel one-class SVM based negative data sampling method for reconstructing proteome-wide HTLV-human protein interaction networks

Hao Zhu, Suyu Mei, Suyu Mei, 2015, Scientific Reports.

Correction: Multi-Label Multi-Kernel Transfer Learning for Human Protein Subcellular Localization

Suyu Mei, 2013, PLoS ONE.

Computational reconstruction of proteome-wide protein interaction networks between HTLV retroviruses and Homo sapiens

Hao Zhu, Suyu Mei, Suyu Mei, 2014, BMC Bioinformatics.

A computational framework for distinguishing direct versus indirect interactions in human functional protein-protein interaction networks.

Kun Zhang, Suyu Mei, Erik K Flemington, 2017, Integrative biology : quantitative biosciences from nano to macro.

Multi-label multi-instance transfer learning for simultaneous reconstruction and cross-talk modeling of multiple human signaling pathways

Hao Zhu, Suyu Mei, Suyu Mei, 2015, BMC Bioinformatics.

A simple feature construction method for predicting upstream/downstream signal flow in human protein-protein interaction networks

Hao Zhu, Suyu Mei, Suyu Mei, 2015, Scientific Reports.

A Computational Framework for Predicting Direct Contacts and Substructures within Protein Complexes

Suyu Mei, Kun Zhang, Kun Zhang, 2019, Biomolecules.

In Silico Enhancing M. tuberculosis Protein Interaction Networks in STRING To Predict Drug-Resistance Pathways and Pharmacological Risks.

Suyu Mei, 2018, Journal of proteome research.

A Multi-Label Learning Framework for Drug Repurposing

Kun Zhang, Suyu Mei, Kun Zhang, 2019, Pharmaceutics.

Probability Weighted Ensemble Transfer Learning for Predicting Interactions between HIV-1 and Human Proteins

Suyu Mei, Suyu Mei, 2013, PloS one.

SVM ensemble based transfer learning for large-scale membrane proteins discrimination.

Suyu Mei, Suyu Mei, 2014, Journal of theoretical biology.

Using Rough Reducts to Analyze the Independency of Earthquake Precursory Items

Wei Wang, Yue Liu, Gengfeng Wu, 2007, RSKT.

Structural Domain Based Multiple Instance Learning for Predicting Gram-Positive Bacterial Protein Subcellular Localization

Wang Fei, Suyu Mei, Suyu Mei, 2009, 2009 International Joint Conference on Bioinformatics, Systems Biology and Intelligent Computing.

Multi-label ℓ2-regularized logistic regression for predicting activation/inhibition relationships in human protein-protein interaction networks

Kun Zhang, Suyu Mei, Kun Zhang, 2016, Scientific Reports.

Corrigendum to “Multi-kernel transfer learning based on Chou's PseAAC formulation for protein submitochondria localization” [J. Theor. Biol. 293 (2012) 121–130]

Suyu Mei, 2013 .

Neglog: Homology-Based Negative Data Sampling Method for Genome-Scale Reconstruction of Human Protein–Protein Interaction Networks

Suyu Mei, Kun Zhang, Kun Zhang, 2019, International journal of molecular sciences.

Gene ontology based transfer learning for protein subcellular localization

Shuigeng Zhou, Wang Fei, Suyu Mei, 2011, BMC Bioinformatics.

Amino acid classification based spectrum kernel fusion for protein subnuclear localization

Wang Fei, Suyu Mei, Suyu Mei, 2010, BMC Bioinformatics.

A framework combines supervised learning and dense subgraphs discovery to predict protein complexes

Suyu Mei, Suyu Mei, 2021, Frontiers of Computer Science.

A machine learning framework for predicting drug–drug interactions

Suyu Mei, Kun Zhang, Suyu Mei, 2021, Scientific Reports.

AdaBoost Based Multi-Instance Transfer Learning for Predicting Proteome-Wide Interactions between Salmonella and Human Proteins

Suyu Mei, Hao Zhu, Suyu Mei, 2014, PloS one.

Computational discovery of Epstein-Barr virus targeted human genes and signalling pathways

Suyu Mei, Kun Zhang, Suyu Mei, 2016, Scientific Reports.

Multi-kernel transfer learning based on Chou's PseAAC formulation for protein submitochondria localization.

Suyu Mei, Suyu Mei, 2012, Journal of theoretical biology.

Multi-Label Multi-Kernel Transfer Learning for Human Protein Subcellular Localization

Suyu Mei, Suyu Mei, 2012, PloS one.

Predicting plant protein subcellular multi-localization by Chou's PseAAC formulation based multi-label homolog knowledge transfer learning.

Suyu Mei, Suyu Mei, 2012, Journal of theoretical biology.