Min Wu

发表

Inferring Gene-Phenotype Associations via Global Protein Complex Network Propagation

Xiaoli Li, C. Kwoh, See-Kiong Ng, 2011, PloS one.

Power-Law Modeling of Cancer Cell Fates Driven by Signaling Data to Reveal Drug Effects

C. Kwoh, Min Wu, Jie Zheng, 2016, PloS one.

NetPipe : A Network-based Pipeline for Discovery of Genes and Protein Complexes Regulating Meiotic Recombination Hotspots

Min Wu, 2019 .

Integrating node embeddings and biological annotations for genes to predict disease-gene associations

Xiaoli Li, C. Kwoh, Yuan Fang, 2018, BMC Systems Biology.

Disease gene classification with metagraph representations.

Xiaoli Li, Xiaokui Xiao, Yuan Fang, 2017, Methods.

Benchmarking Human Protein Complexes to Investigate Drug-Related Systems and Evaluate Predicted Protein Complexes

Xiaoli Li, Chee-Keong Kwoh, Jie Zheng, 2013, PloS one.

Title Meta-analysis of genomic and proteomic features to predict synthetic lethality of yeast and human cancer

C. Kwoh, Min Wu, Jie Zheng, 2018 .

ADAST: Attentive Cross-Domain EEG-Based Sleep Staging Framework With Iterative Self-Training

Cuntai Guan, C. Kwoh, Zhenghua Chen, 2021, IEEE Transactions on Emerging Topics in Computational Intelligence.

Node-based learning of differential networks from multi-platform gene expression data.

Min Wu, Xiao-Li Li, Xiao-Fei Zhang, 2017, Methods.

Integration of Genomic and Epigenomic Features to Predict Meiotic Recombination Hotspots in Human and Mouse

Min Wu, 2019 .

Title Integration of genomic and epigenomic features to predictmeiotic recombination hotspots in human and mouse

Min Wu, 2018 .

Integration of Genomic and Epigenomic Features to Predict Meiotic Recombination Hotspots in Human and Mouse

Min Wu, 2018 .

An Attention-Based Deep Sequential GRU Model for Sensor Drift Compensation

Xiaoli Li, Yu Zhang, Tanaya Chaudhuri, 2021, IEEE Sensors Journal.

Semantic Labeling to Identify Reliable Interactions in the Protein Interaction Network

C. Kwoh, Min Wu, Xiaoli Li, 2008, 2008 2nd International Conference on Bioinformatics and Biomedical Engineering.

Heterogeneous graph attention networks for drug virus association prediction

C. Kwoh, Min Wu, Jiawei Luo, 2021, Methods.

Data-driven prediction of cancer cell fates with a nonlinear model of signaling pathways

Fan Zhang, Chee Keong Kwoh, Jie Zheng, 2014, BCB.

Identifying protein complexes from heterogeneous biological data

Jie Zheng, Xiaoli Li, Chee-Keong Kwoh, 2013, Proteins.

Protein Complex Detection via Effective Integration of Base Clustering Solutions and Co-Complex Affinity Scores

Min Wu, Le Ou-Yang, Xiao-Li Li, 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

A two-layer integration framework for protein complex detection

Min Wu, Xiaoli Li, Hong Yan, 2016, BMC Bioinformatics.

Detecting temporal protein complexes from dynamic protein-protein interaction networks

Peng Yang, Xiaoli Li, Dao-Qing Dai, 2014, BMC Bioinformatics.

PLW: Probabilistic Local Walks for detecting protein complexes from protein interaction networks

See-Kiong Ng, Jie Zheng, Xiao-Li Li, 2013, BMC Genomics.

LDSplitDB: a database for studies of meiotic recombination hotspots in MHC using human genomic data

T. Przytycka, C. Kwoh, Min Wu, 2018, BMC Medical Genomics.

Disease Gene Classification with Metagraph Representations.

Xiaokui Xiao, Xiao-Li Li, Min Wu, 2018, Methods in molecular biology.

Multi-Source Video Domain Adaptation with Temporal Attentive Moment Alignment pdf

Zhenghua Chen, Yuecong Xu, Rui Zhao, 2021, IEEE Transactions on Circuits and Systems for Video Technology.

A partially shared joint clustering framework for detecting protein complexes from multiple state-specific signed interaction networks

Min Wu, C. S. Tan, Le Ou-Yang, 2023, bioRxiv.

Discovery of Protein Complexes with Core-Attachment Structures from Tandem Affinity Purification (TAP) Data

Chee Keong Kwoh, Limsoon Wong, See-Kiong Ng, 2012, J. Comput. Biol..

Ensembling graph attention networks for human microbe-drug association prediction.

Yong Liu, Xiaoli Li, C. Kwoh, 2020, Bioinformatics.

In Silico Prediction of Synthetic Lethality by Meta-Analysis of Genetic Interactions, Functions, and Pathways in Yeast and Human Cancer

Fan Zhang, Xiaoli Li, Chee-Keong Kwoh, 2014, Cancer informatics.

KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers

Shike Wang, Fan Xu, Yunyang Li, 2021, Bioinform..

Syn-Lethality: An Integrative Knowledge Base of Synthetic Lethality towards Discovery of Selective Anticancer Therapies

Fan Zhang, Shital K. Mishra, Jie Zheng, 2013, 2013 IEEE International Conference on Bioinformatics and Biomedicine.

Predicting synthetic lethal interactions in human cancers using graph regularized self-representative matrix factorization

Min Wu, Le Ou-Yang, Fan Lu, 2019, BMC Bioinformatics.

Predicting essential genes and synthetic lethality via influence propagation in signaling pathways of cancer cell fates

Fan Zhang, Chee Keong Kwoh, Xiaoli Li, 2015, J. Bioinform. Comput. Biol..

Graph Contextualized Attention Network for Predicting Synthetic Lethality in Human Cancers

Xiaoli Li, C. Kwoh, Min Wu, 2021, bioRxiv.

Inferring Protein Interactions from Sequence using Support Vector Machine

Min Wu, De-Shuang Huang, Ming-Guang Shi, 2009, 2009 International Joint Conference on Neural Networks.

Bispectrum-based Cross-frequency Functional Connectivity: A Study of Alzheimer’s Disease

Min Wu, D. Blackburn, P. Sarrigiannis, 2021 .

Degradation-Aware Remaining Useful Life Prediction With LSTM Autoencoder

Ruqiang Yan, Zhenghua Chen, Xiao-Li Li, 2021, IEEE Transactions on Instrumentation and Measurement.

Drug-target interaction prediction via class imbalance-aware ensemble learning

Chee Keong Kwoh, Xiaoli Li, Ali Ezzat, 2016, BMC Bioinformatics.

Classification of Travel Patterns Including Wandering Based on Bi-directional Long Short-Term Memory Networks

Chiew Tong Lau, Zhenghua Chen, Nhu Khue Vuong, 2021, Generalization with Deep Learning.

Self-Supervised Autoregressive Domain Adaptation for Time Series Data

C. Kwoh, Zhenghua Chen, Min Wu, 2021, IEEE Transactions on Neural Networks and Learning Systems.

Adversarial Multiple-Target Domain Adaptation for Fault Classification

Zhenghua Chen, Xiaoli Li, Min Wu, 2021, IEEE Transactions on Instrumentation and Measurement.

Privacy-Preserving Cross-Environment Human Activity Recognition

Teo Sin Gee, Le Zhang, Zhenghua Chen, 2021, IEEE Transactions on Cybernetics.

NetPipe: a network-based pipeline for discovery of genes and protein complexes regulating meiotic recombination hotspots

Chee Keong Kwoh, Xiaoli Li, Jie Zheng, 2012, BCB.

Integration of genomic and epigenomic features to predict meiotic recombination hotspots in human and mouse

Jing Li, Chee Keong Kwoh, Teresa M. Przytycka, 2012, BCB.

Pre-training graph neural networks for link prediction in biomedical networks

C. Kwoh, Yuan Fang, Min Wu, 2022, Bioinform..

Meta-analysis of Genomic and Proteomic Features to Predict Synthetic Lethality of Yeast and Human Cancer

Fan Zhang, Chee Keong Kwoh, Xiaoli Li, 2013, BCB.

Predicting Synthetic Lethality in Human Cancers via Multi-Graph Ensemble Neural Network

Min Wu, Jie Zheng, Haochen Yang, 2021, 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Prediction of Synthetic Lethal Interactions in Human Cancers Using Multi-View Graph Auto-Encoder

Ruichu Cai, Zhifeng Hao, Min Wu, 2021, IEEE Journal of Biomedical and Health Informatics.

Deep learning with long short-term memory networks for classification of dementia related travel patterns

Chiew Tong Lau, Syin Chan, Zhenghua Chen, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Drug-target interaction prediction using ensemble learning and dimensionality reduction.

Min Wu, Chee-Keong Kwoh, Ali Ezzat, 2017, Methods.

Computational Prediction of Drug-Target Interactions via Ensemble Learning.

Min Wu, Xiaoli Li, Chee-Keong Kwoh, 2018, Methods in molecular biology.

Attention-based sequence to sequence model for machine remaining useful life prediction

Ruqiang Yan, Zhenghua Chen, Chee-Keong Kwoh, 2021, Neurocomputing.

Phenolic compounds from date pits: ultrasonic-assisted extraction, antioxidant activity and component identification

Y. Liu, Min Wu, Shoulian Wei, 2018, Journal of Food Measurement and Characterization.

A joint classification-regression method for multi-stage remaining useful life prediction

Jiyan Wu, Zhenghua Chen, Ruqiang Yan, 2021 .

Contrastive adversarial knowledge distillation for deep model compression in time-series regression tasks

Zhenghua Chen, Min Wu, Xiaoli Li, 2021, Neurocomputing.

Epigenetic functions enriched in transcription factors binding to mouse recombination hotspots

Jing Li, Chee-Keong Kwoh, Jie Zheng, 2012, Proteome Science.

Prediction of Trans-regulators of Recombination Hotspots in Mouse Genome

Jing Li, Chee Keong Kwoh, Teresa M. Przytycka, 2011, 2011 IEEE International Conference on Bioinformatics and Biomedicine.

Integrating diverse biological and computational sources for reliable protein-protein interactions

Chee Keong Kwoh, See-Kiong Ng, Xiaoli Li, 2010, BMC Bioinformatics.

LDsplit: screening for cis-regulatory motifs stimulating meiotic recombination hotspots by analysis of DNA sequence polymorphisms

Chee Keong Kwoh, Peng Yang, Jing Guo, 2014, BMC Bioinformatics.

Finding trans-regulatory genes and protein complexes modulating meiotic recombination hotspots of human, mouse and yeast

Chee Keong Kwoh, Xiaoli Li, Jie Zheng, 2014, BMC Systems Biology.

Institutional Knowledge at Singapore Management University Institutional Knowledge at Singapore Management University Disease gene classification with metagraph representations Disease gene classification with metagraph representations

Xiaoli Li, Xiaokui Xiao, Yuan Fang, 2020 .

Learning Optimal Social Dependency for Recommendation pdf

Xin Liu, Yong Liu, Xiaoli Li, 2016, ArXiv.

A Deep Learning Approach for Sleep-Wake Detection from HRV and Accelerometer Data

Min Wu, Zhenghua Chen, Jie Ding, 2019, 2019 IEEE EMBS International Conference on Biomedical & Health Informatics (BHI).