Research Output per year
Personal profile
Education
- 2018 Ph.D., Department of Computer Science and Engineering, Yuan Ze University
- 2014 M.S., Department of Computer Science and Engineering, Yuan Ze University
- 2010 B.Eng. in Information Technology, Da Lat University, Vietnam
Research Interests
- Artificial Intelligence
- Deep learning
- Bioinformatics
- Biomedical and healthcare informatics
Experience
- 2019.08- Assistant Professor, Professional Master Program in Artificial Intelligence in Medicine, Taipei Medical University
- 2018.08-2019.08 Research Fellow, School of Humanities, Nanyang Technological University, Singapore
Fingerprint Dive into the research topics where Nguyen Quoc Khanh Le is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
Position-Specific Scoring Matrices
Medicine & Life Sciences
Neural networks
Chemical Compounds
Carrier Proteins
Chemical Compounds
Protein
Mathematics
Proteins
Chemical Compounds
Radial basis function networks
Chemical Compounds
Electron Transport
Mathematics
Learning
Medicine & Life Sciences
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2016 2019
2
Citations
(Scopus)
ET-GRU: Using multi-layer gated recurrent units to identify electron transport proteins
Le, N. Q. K., Yapp, E. K. Y. & Yeh, H. Y., Jul 6 2019, In : BMC Bioinformatics. 20, 1, 377.Research output: Contribution to journal › Article
Open Access
Electron Transport
Multilayer
Carrier Proteins
Protein
Unit
Exploiting two-layer support vector machine to predict protein sumoylation sites
Nguyen, V. N., Do, H. K., Tran, T. X., Le, N. Q. K., Le, A. T. & Lee, T. Y., Jan 1 2019, Lecture Notes in Networks and Systems. Springer India, p. 324-332 9 p. (Lecture Notes in Networks and Systems; vol. 63).Research output: Chapter in Book/Report/Conference proceeding › Chapter
Support vector machines
Proteins
Substrates
1
Citation
(Scopus)
Fertility-GRU: Identifying Fertility-Related Proteins by Incorporating Deep-Gated Recurrent Units and Original Position-Specific Scoring Matrix Profiles
Le, N. Q. K., Jan 1 2019, (Accepted/In press) In : Journal of Proteome Research.Research output: Contribution to journal › Article
Position-Specific Scoring Matrices
Fertility
Proteins
Proteome
Learning
5
Citations
(Scopus)
Identification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profiles
Le, N. Q. K., Huynh, T. T., Yapp, E. K. Y. & Yeh, H. Y., Aug 1 2019, In : Computer Methods and Programs in Biomedicine. 177, p. 81-88 8 p.Research output: Contribution to journal › Article
Position-Specific Scoring Matrices
Clathrin
Learning
Proteins
Neural networks
15
Citations
(Scopus)
iEnhancer-5Step: Identifying enhancers using hidden information of DNA sequences via Chou's 5-step rule and word embedding
Le, N. Q. K., Yapp, E. K. Y., Ho, Q. T., Nagasundaram, N., Ou, Y. Y. & Yeh, H. Y., Apr 15 2019, In : Analytical Biochemistry. 571, p. 53-61 9 p.Research output: Contribution to journal › Article
DNA sequences
Natural Language Processing
Genomics
Computational Biology
Inflammatory Bowel Diseases