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2020 – today
- 2023
[c11]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: 83-88- 2022
- [j15]Quang-Huy Nguyen
, Tin Nguyen, Duc-Hau Le:
DrGA: cancer driver gene analysis in a simpler manner. BMC Bioinform. 23(1): 86 (2022) - [j14]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): 146-154 (2022) - [j13]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): 710-717 (2022) - 2020
- [j12]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): 244 (2020) - [j11]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): 89-111 (2020) - [c10]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: 306-311 - [c9]Hung Nguyen, Bang Tran, Duc Tran, Quang-Huy Nguyen, Duc-Hau Le, Tin Nguyen:
Disease subtyping using community detection from consensus networks. KSE 2020: 318-323
2010 – 2019
- 2018
- [c8]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: 1-5 - [c7]Giang T. T. Nguyen, Duc-Hau Le:
A matrix completion method for drug response prediction in personalized medicine. SoICT 2018: 410-415 - [i1]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: 658 (2018) - 2017
- [j10]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): 479 (2017) - [j9]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): 61:1-61:10 (2017) - [c6]Duc-Hau Le, Nguyen Thi Van:
Meta-analysis of whole-transcriptome data for prediction of novel genes associated with autism spectrum disorder. CSBio 2017: 56-61 - [c5]Duc-Hau Le, Van-Huy Pham, Thuy Thi Nguyen:
An ensemble learning-based method for prediction of novel disease-microRNA associations. KSE 2017: 7-12 - 2016
- [j8]Duc-Hau Le, Vu-Tung Dang:
Ontology-based disease similarity network for disease gene prediction. Vietnam. J. Comput. Sci. 3(3): 197-205 (2016) - [c4]Duc-Hau Le, Anh-Minh Dao, Ba-Su Pham:
Assessing human disease phenotype similarity based on ontology. RIVF 2016: 211-216 - [c3]Duc-Hau Le, Dai-Phong Nguyen, Anh-Minh Dao:
Significant path selection improves the prediction of novel drug-target interactions. SoICT 2016: 30-35 - 2015
- [j7]Duc-Hau Le:
A novel method for identifying disease associated protein complexes based on functional similarity protein complex networks. Algorithms Mol. Biol. 10: 14 (2015) - [j6]Duc-Hau Le:
Network-based ranking methods for prediction of novel disease associated microRNAs. Comput. Biol. Chem. 58: 139-148 (2015) - [c2]Duc-Hau Le, Manh-Hien Nguyen:
Towards more realistic machine learning techniques for prediction of disease-associated genes. SoICT 2015: 116-120 - 2014
- [c1]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: 577-588 - 2013
- [j5]Duc-Hau Le, Yung-Keun Kwon:
A coherent feedforward loop design principle to sustain robustness of biological networks. Bioinform. 29(5): 630-637 (2013) - [j4]Duc-Hau Le, Yung-Keun Kwon:
Neighbor-favoring weight reinforcement to improve random walk-based disease gene prioritization. Comput. Biol. Chem. 44: 1-8 (2013) - 2012
- [j3]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: 17-23 (2012) - 2011
- [j2]Duc-Hau Le, Yung-Keun Kwon:
The effects of feedback loops on disease comorbidity in human signaling networks. Bioinform. 27(8): 1113-1120 (2011) - [j1]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): 2767-2768 (2011)
Coauthor Index
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