| An update on physical health and economic consequences of overweight and obesity DT Chu, NTM Nguyet, TC Dinh, NVT Lien, KH Nguyen, VTN Ngoc, Y Tao, ... Diabetes & Metabolic Syndrome: Clinical Research & Reviews 12 (6), 1095-1100, 2018 | 209 | 2018 |
| An update on obesity: Mental consequences and psychological interventions DT Chu, NTM Nguyet, VT Nga, NVT Lien, DD Vo, N Lien, VTN Ngoc, ... Diabetes & Metabolic Syndrome: Clinical Research & Reviews 13 (1), 155-160, 2019 | 186 | 2019 |
| Graph convolutional networks for drug response prediction T Nguyen, GTT Nguyen, T Nguyen, DH Le IEEE/ACM transactions on computational biology and bioinformatics 19 (1 …, 2021 | 88 | 2021 |
| GPEC: a Cytoscape plug-in for random walk-based gene prioritization and biomedical evidence collection DH Le, YK Kwon Computational biology and chemistry 37, 17-23, 2012 | 69 | 2012 |
| Neighbor-favoring weight reinforcement to improve random walk-based disease gene prioritization DH Le, YK Kwon Computational biology and chemistry 44, 1-8, 2013 | 66 | 2013 |
| Ontology-based disease similarity network for disease gene prediction DH Le, VT Dang Vietnam Journal of Computer Science 3 (3), 197-205, 2016 | 51 | 2016 |
| PANET: A GPU-based tool for fast parallel analysis of robustness dynamics and feed-forward/feedback loop structures in large-scale biological networks T Hung-Cuong, L Duc-Hau, K Yung-Keun Plos ONE 9 (7), 2014 | 48 | 2014 |
| A coherent feedforward loop design principle to sustain robustness of biological networks DH Le, YK Kwon Bioinformatics 29 (5), 630-637, 2013 | 46 | 2013 |
| Network-based ranking methods for prediction of novel disease associated microRNAs DH Le Computational Biology and Chemistry 58, 139-148, 2015 | 44 | 2015 |
| 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 DH Le, VH Pham BMC systems biology 11, 1-10, 2017 | 42 | 2017 |
| Machine learning-based approaches for disease gene prediction DH Le Briefings in functional genomics 19 (5-6), 350-363, 2020 | 39 | 2020 |
| Unveiling prognostics biomarkers of tyrosine metabolism reprogramming in liver cancer by cross-platform gene expression analyses TN Nguyen, HQ Nguyen, DH Le PloS one 15 (6), e0229276, 2020 | 37 | 2020 |
| Prevalence of early childhood caries and its related risk factors in preschoolers: Result from a cross sectional study in Vietnam VTN Ngoc, DT Chu, DH Le Pediatric dental journal 27 (2), 79-84, 2017 | 34 | 2017 |
| A comparative study of classification-based machine learning methods for novel disease gene prediction DH Le, N Xuan Hoai, YK Kwon Knowledge and Systems Engineering: Proceedings of the Sixth International …, 2015 | 33 | 2015 |
| NetDS: a Cytoscape plugin to analyze the robustness of dynamics and feedforward/feedback loop structures of biological networks DH Le, YK Kwon Bioinformatics 27 (19), 2767-2768, 2011 | 31 | 2011 |
| Drug response prediction by globally capturing drug and cell line information in a heterogeneous network DH Le, VH Pham Journal of molecular biology 430 (18), 2993-3004, 2018 | 26 | 2018 |
| The effects of feedback loops on disease comorbidity in human signaling networks DH Le, YK Kwon Bioinformatics 27 (8), 1113-1120, 2011 | 26 | 2011 |
| Annotating diseases using human phenotype ontology improves prediction of disease-associated long non-coding RNAs DH Le, LTM Dao Journal of molecular biology 430 (15), 2219-2230, 2018 | 22 | 2018 |
| Systems pharmacology: A unified framework for prediction of drug-target interactions DH Le, L Le Current pharmaceutical design 22 (23), 3569-3575, 2016 | 21 | 2016 |
| A novel method for identifying disease associated protein complexes based on functional similarity protein complex networks DH Le Algorithms for Molecular Biology 10, 1-12, 2015 | 21 | 2015 |
Quang-Huy NguyenAuburn University, Samuel Ginn College of Engineeringauburn.edu의 이메일 확인됨
