The effects of feedback loops on disease comorbidity in human signaling networks. - Duc-Hau Le; Yung-Keun Kwon (Bioinform., 2011)

NetDS: a Cytoscape plugin to analyze the robustness of dynamics and feedforward/feedback loop structures of biological networks. - Duc-Hau Le; Yung-Keun Kwon (Bioinform., 2011)

GPEC: A Cytoscape plug-in for random walk-based gene prioritization and biomedical evidence collection. - Duc-Hau Le; Yung-Keun Kwon (Comput. Biol. Chem., 2012)

A coherent feedforward loop design principle to sustain robustness of biological networks. - Duc-Hau Le; Yung-Keun Kwon (Bioinform., 2013)

Neighbor-favoring weight reinforcement to improve random walk-based disease gene prioritization. - Duc-Hau Le; Yung-Keun Kwon (Comput. Biol. Chem., 2013)

A Comparative Study of Classification-Based Machine Learning Methods for Novel Disease Gene Prediction. - Duc-Hau Le; Nguyen Xuan Hoai; Yung-Keun Kwon (KSE, 2014)

Towards more realistic machine learning techniques for prediction of disease-associated genes. - Duc-Hau Le; Manh-Hien Nguyen (SoICT, 2015)

A novel method for identifying disease associated protein complexes based on functional similarity protein complex networks. - Duc-Hau Le (Algorithms Mol. Biol., 2015)

Network-based ranking methods for prediction of novel disease associated microRNAs. - Duc-Hau Le (Comput. Biol. Chem., 2015)

Assessing human disease phenotype similarity based on ontology. - Duc-Hau Le; Anh-Minh Dao; Ba-Su Pham (RIVF, 2016)

Significant path selection improves the prediction of novel drug-target interactions. - Duc-Hau Le; Dai-Phong Nguyen; Anh-Minh Dao (SoICT, 2016)

Ontology-based disease similarity network for disease gene prediction. - Duc-Hau Le; Vu-Tung Dang (Vietnam. J. Comput. Sci., 2016)

Meta-analysis of whole-transcriptome data for prediction of novel genes associated with autism spectrum disorder. - Duc-Hau Le; Nguyen Thi Van (CSBio, 2017)

An ensemble learning-based method for prediction of novel disease-microRNA associations. - Duc-Hau Le; Van-Huy Pham 001; Thuy Thi Nguyen (KSE, 2017)

Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs. - Duc-Hau Le; Lieven P. C. Verbeke; Le Hoang Son; Dinh-Toi Chu; Van Huy Pham 001 (BMC Bioinform., 2017)

HGPEC: a Cytoscape app for prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network. - Duc-Hau Le; Van-Huy Pham 001 (BMC Syst. Biol., 2017)

Multi-Task Regression Learning for Prediction of Response Against a Panel of Anti-Cancer Drugs in Personalized Medicine. - Duc-Hau Le; Doanh Nguyen-Ngoc (MAPR, 2018)

A matrix completion method for drug response prediction in personalized medicine. - Giang T. T. Nguyen; Duc-Hau Le (SoICT, 2018)

autoHGPEC: Automated prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network. - Duc-Hau Le; Trang T. H. Tran (F1000Research, 2018)

An investigation of cancer cell line-based drug response prediction methods on patient data. - Giang T. T. Nguyen; Le Due Hoang; Quynh Diep Nguyen; Tung T. Nguyen; Hien T. T. Dang; Duc-Hau Le (KSE, 2020)

Disease subtyping using community detection from consensus networks. - Hung Nguyen 005; Bang Tran; Duc Tran; Quang-Huy Nguyen; Duc-Hau Le; Tin Nguyen 001 (KSE, 2020)

RWRMTN: a tool for predicting disease-associated microRNAs based on a microRNA-target gene network. - Duc-Hau Le; Trang T. H. Tran (BMC Bioinform., 2020)

Meta-analysis of computational methods for breast cancer classification. - Tri-Cong Pham; Chi-Mai Luong; Antoine Doucet; Van-Dung Hoang; Diem-Phuc Tran; Duc-Hau Le (Int. J. Intell. Inf. Database Syst., 2020)

DrGA: cancer driver gene analysis in a simpler manner. - Quang-Huy Nguyen; Tin Nguyen 001; Duc-Hau Le (BMC Bioinform., 2022)

Graph Convolutional Networks for Drug Response Prediction. - Tuan Nguyen; Giang T. T. Nguyen; Thin Nguyen; Duc-Hau Le (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

Integrating Molecular Graph Data of Drugs and Multiple -Omic Data of Cell Lines for Drug Response Prediction. - Giang T. T. Nguyen; Hoa D. Vu; Duc-Hau Le (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

A Hybrid Model Integrating Multi-Omic and Topological Information of PPI Network for Drug Synergism Prediction. - Giang T. T. Nguyen; Kien T. Phuong; Khanh Nguyen-Trong; Duc-Hau Le (RIVF, 2023)