Duc-Hau Le

Publication Activity (10 Years)

Years Active: 2011-2023
Publications (10 Years): 21

Top Topics

Complex Networks

Gene Prediction

Protein Complexes

Topological Information

Top Venues

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Giang T. T. Nguyen, Kien T. Phuong, Khanh Nguyen-Trong, Duc-Hau Le
A Hybrid Model Integrating Multi-Omic and Topological Information of PPI Network for Drug Synergism Prediction. RIVF (2023)
Tuan Nguyen, Giang T. T. Nguyen, Thin Nguyen, Duc-Hau Le
Graph Convolutional Networks for Drug Response Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Giang T. T. Nguyen, Hoa D. Vu, Duc-Hau Le
Integrating Molecular Graph Data of Drugs and Multiple -Omic Data of Cell Lines for Drug Response Prediction. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Quang-Huy Nguyen, Tin Nguyen, Duc-Hau Le
DrGA: cancer driver gene analysis in a simpler manner. BMC Bioinform. 23 (1) (2022)
Hung Nguyen, Bang Tran, Duc Tran, Quang-Huy Nguyen, Duc-Hau Le, Tin Nguyen
Disease subtyping using community detection from consensus networks. KSE (2020)
Duc-Hau Le, Trang T. H. Tran
RWRMTN: a tool for predicting disease-associated microRNAs based on a microRNA-target gene network. BMC Bioinform. 21 (1) (2020)
Tri-Cong Pham, Chi-Mai Luong, Antoine Doucet, Van-Dung Hoang, Diem-Phuc Tran, Duc-Hau Le
Meta-analysis of computational methods for breast cancer classification. Int. J. Intell. Inf. Database Syst. 13 (1) (2020)
Giang T. T. Nguyen, Le Due Hoang, Quynh Diep Nguyen, Tung T. Nguyen, Hien T. T. Dang, Duc-Hau Le
An investigation of cancer cell line-based drug response prediction methods on patient data. KSE (2020)
Duc-Hau Le, Trang T. H. Tran
autoHGPEC: Automated prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on heterogeneous network. F1000Research 7 (2018)
Duc-Hau Le, Doanh Nguyen-Ngoc
Multi-Task Regression Learning for Prediction of Response Against a Panel of Anti-Cancer Drugs in Personalized Medicine. MAPR (2018)
Giang T. T. Nguyen, Duc-Hau Le
A matrix completion method for drug response prediction in personalized medicine. SoICT (2018)
Duc-Hau Le, Van-Huy Pham
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. BMC Syst. Biol. 11 (1) (2017)
Duc-Hau Le, Nguyen Thi Van
Meta-analysis of whole-transcriptome data for prediction of novel genes associated with autism spectrum disorder. CSBio (2017)
Duc-Hau Le, Van-Huy Pham, Thuy Thi Nguyen
An ensemble learning-based method for prediction of novel disease-microRNA associations. KSE (2017)
Duc-Hau Le, Lieven P. C. Verbeke, Le Hoang Son, Dinh-Toi Chu, Van Huy Pham
Random walks on mutual microRNA-target gene interaction network improve the prediction of disease-associated microRNAs. BMC Bioinform. 18 (1) (2017)
Duc-Hau Le, Anh-Minh Dao, Ba-Su Pham
Assessing human disease phenotype similarity based on ontology. RIVF (2016)
Duc-Hau Le, Dai-Phong Nguyen, Anh-Minh Dao
Significant path selection improves the prediction of novel drug-target interactions. SoICT (2016)
Duc-Hau Le, Vu-Tung Dang
Ontology-based disease similarity network for disease gene prediction. Vietnam. J. Comput. Sci. 3 (3) (2016)
Duc-Hau Le, Manh-Hien Nguyen
Towards more realistic machine learning techniques for prediction of disease-associated genes. SoICT (2015)
Duc-Hau Le
A novel method for identifying disease associated protein complexes based on functional similarity protein complex networks. Algorithms Mol. Biol. 10 (2015)
Duc-Hau Le
Network-based ranking methods for prediction of novel disease associated microRNAs. Comput. Biol. Chem. 58 (2015)
Duc-Hau Le, Nguyen Xuan Hoai, Yung-Keun Kwon
A Comparative Study of Classification-Based Machine Learning Methods for Novel Disease Gene Prediction. KSE (2014)
Duc-Hau Le, Yung-Keun Kwon
A coherent feedforward loop design principle to sustain robustness of biological networks. Bioinform. 29 (5) (2013)
Duc-Hau Le, Yung-Keun Kwon
Neighbor-favoring weight reinforcement to improve random walk-based disease gene prioritization. Comput. Biol. Chem. 44 (2013)
Duc-Hau Le, Yung-Keun Kwon
GPEC: A Cytoscape plug-in for random walk-based gene prioritization and biomedical evidence collection. Comput. Biol. Chem. 37 (2012)
Duc-Hau Le, Yung-Keun Kwon
The effects of feedback loops on disease comorbidity in human signaling networks. Bioinform. 27 (8) (2011)
Duc-Hau Le, Yung-Keun Kwon
NetDS: a Cytoscape plugin to analyze the robustness of dynamics and feedforward/feedback loop structures of biological networks. Bioinform. 27 (19) (2011)