User profiles for Duc-Hau Le
Duc-Hau LeThuyloi University Verified email at wru.vn Cited by 1367 |
An update on physical health and economic consequences of overweight and obesity
Overweight and obesity (OW and OB) have been on the increase globally and posed health
risks to the world’s population of all ages, including pre-born babies, children, adolescents, …
risks to the world’s population of all ages, including pre-born babies, children, adolescents, …
An update on obesity: Mental consequences and psychological interventions
Besides physical consequences, obesity has negative psychological effects, thereby lowering
human life quality. Major psychological consequences of this disorder includes depression…
human life quality. Major psychological consequences of this disorder includes depression…
Machine learning-based approaches for disease gene prediction
DH Le - Briefings in functional genomics, 2020 - academic.oup.com
Disease gene prediction is an essential issue in biomedical research. In the early days,
annotation-based approaches were proposed for this problem. With the development of high-…
annotation-based approaches were proposed for this problem. With the development of high-…
Graph convolutional networks for drug response prediction
Background : Drug response prediction is an important problem in computational personalized
medicine. Many machine-learning-based methods, especially deep learning-based ones…
medicine. Many machine-learning-based methods, especially deep learning-based ones…
Neighbor-favoring weight reinforcement to improve random walk-based disease gene prioritization
DH Le, YK Kwon - Computational biology and chemistry, 2013 - Elsevier
Background Finding candidate genes associated with a disease is an important issue in
biomedical research. Recently, many network-based methods have been proposed that …
biomedical research. Recently, many network-based methods have been proposed that …
GPEC: a Cytoscape plug-in for random walk-based gene prioritization and biomedical evidence collection
DH Le, YK Kwon - Computational biology and chemistry, 2012 - Elsevier
Finding genes associated with a disease is an important issue in the biomedical area and
many gene prioritization methods have been proposed for this goal. Among these, network-…
many gene prioritization methods have been proposed for this goal. Among these, network-…
[HTML][HTML] Ontology-based disease similarity network for disease gene prediction
DH Le, VT Dang - Vietnam Journal of Computer Science, 2016 - Springer
Finding underlying molecular mechanisms of diseases is one of the important issues in
biomedical research. In which, prediction of novel disease-associated genes is mostly focused. …
biomedical research. In which, prediction of novel disease-associated genes is mostly focused. …
[HTML][HTML] Unveiling prognostics biomarkers of tyrosine metabolism reprogramming in liver cancer by cross-platform gene expression analyses
Tyrosine is mainly degraded in the liver by a series of enzymatic reactions. Abnormal expression
of the tyrosine catabolic enzyme tyrosine aminotransferase (TAT) has been reported in …
of the tyrosine catabolic enzyme tyrosine aminotransferase (TAT) has been reported in …
[HTML][HTML] PANET: a GPU-based tool for fast parallel analysis of robustness dynamics and feed-forward/feedback loop structures in large-scale biological networks
It has been a challenge in systems biology to unravel relationships between structural properties
and dynamic behaviors of biological networks. A Cytoscape plugin named NetDS was …
and dynamic behaviors of biological networks. A Cytoscape plugin named NetDS was …
[HTML][HTML] HGPEC: a Cytoscape app for prediction of novel disease-gene and disease-disease associations and evidence collection based on a random walk on …
Background Finding gene-disease and disease-disease associations play important roles
in the biomedical area and many prioritization methods have been proposed for this goal. …
in the biomedical area and many prioritization methods have been proposed for this goal. …