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Nguyen-Quoc-Khanh Le (Nguyen Quoc Khanh Le, Nguyen Quoc Khanh Le)

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Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 51

Top Venues

Cancers

Briefings in bioinformatics

Journal of clinical medicine

Sensors (Basel, Switzerland)

Taipei Medical University

Yuan Ze University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Taipei Medical University Aug 5o 2019

Taiwan

Assistant Professor :: Professional Master Program in Artificial Intelligence in Medicine

Education History

Yuan Ze University

Taiwan

PHD :: Computer Science and Engineering

Publications

Nguyen-Quoc-Khanh Le, Ling Xu
Optimizing Hyperparameter Tuning in Machine Learning to Improve the Predictive Performance of Cross-Species N6-Methyladenosine Sites. ACS omega 8 (42) (2023)
Quang-Hien Kha, Viet-Huan Le, Truong Nguyen Khanh Hung, Ngan Thi Kim Nguyen, Nguyen-Quoc-Khanh Le
Development and Validation of an Explainable Machine Learning-Based Prediction Model for Drug-Food Interactions from Chemical Structures. Sensors (Basel, Switzerland) 23 (8) (2023)
Huy-Hoang Dang, Hoang Dang Khoa Ta, Truc Tran Thanh Nguyen, Chih-Yang Wang, Kuen-Haur Lee, Nguyen-Quoc-Khanh Le
Identification of a Novel Eight-Gene Risk Model for Predicting Survival in Glioblastoma: A Comprehensive Bioinformatic Analysis. Cancers 15 (15) (2023)
Qitong Yuan, Keyi Chen, Yimin Yu, Nguyen-Quoc-Khanh Le, Matthew Chin Heng Chua
Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding. Briefings in bioinformatics 24 (1) (2023)
Quynh Thi Vu Huynh, Minh Thi Tuyet Trinh, Khang Kim Doan, Ban Tran Ho, Szu-Chuan Shen, Tung Huu Trinh, Thanh Hoa Vo, Nguyen-Quoc-Khanh Le, Ngan Thi Kim Nguyen
The Distribution of Autoantibodies by Age Group in Children with Type 1 Diabetes versus Type 2 Diabetes in Southern Vietnam. Journal of clinical medicine 12 (4) (2023)
Thi-My-Trang Luong, Nguyen-Quoc-Khanh Le
Artificial intelligence in time-lapse system: advances, applications, and future perspectives in reproductive medicine. Journal of assisted reproduction and genetics (2023)
Quynh Thi Vu Huynh, Minh Thi Tuyet Trinh, Khang Kim Doan, Ban Tran Ho, Szu-Chuan Shen, Tung Huu Trinh, Thanh Hoa Vo, Nguyen-Quoc-Khanh Le, Ngan Thi Kim Nguyen
The Distribution of Autoantibodies by Age Group in Children with Type 1 Diabetes versus Type 2 Diabetes in Southern Vietnam. Journal of clinical medicine 12 (4) (2023)
Viet Huan Le, Tran Nguyen Tuan Minh, Quang Hien Kha, Nguyen-Quoc-Khanh Le
A transfer learning approach on MRI-based radiomics signature for overall survival prediction of low-grade and high-grade gliomas. Medical & biological engineering & computing (2023)
Quynh Thi Vu Huynh, Minh Thi Tuyet Trinh, Khang Kim Doan, Ban Tran Ho, Szu-Chuan Shen, Tung Huu Trinh, Thanh Hoa Vo, Nguyen-Quoc-Khanh Le, Ngan Thi Kim Nguyen
The Distribution of Autoantibodies by Age Group in Children with Type 1 Diabetes versus Type 2 Diabetes in Southern Vietnam. Journal of clinical medicine 12 (4) (2023)
Quynh Thi Vu Huynh, Minh Thi Tuyet Trinh, Khang Kim Doan, Ban Tran Ho, Szu-Chuan Shen, Tung Huu Trinh, Thanh Hoa Vo, Nguyen-Quoc-Khanh Le, Ngan Thi Kim Nguyen
The Distribution of Autoantibodies by Age Group in Children with Type 1 Diabetes versus Type 2 Diabetes in Southern Vietnam. Journal of clinical medicine 12 (4) (2023)
Qitong Yuan, Keyi Chen, Yimin Yu, Nguyen-Quoc-Khanh Le, Matthew Chin Heng Chua
Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding. Briefings in bioinformatics (2023)
Nguyen-Quoc-Khanh Le
Leveraging transformers-based language models in proteome bioinformatics. Proteomics (2023)
Viet Huan Le, Quang Hien Kha, Tran Nguyen Tuan Minh, Van Hiep Nguyen, Van Long Le, Nguyen-Quoc-Khanh Le
Development and Validation of CT-Based Radiomics Signature for Overall Survival Prediction in Multi-organ Cancer. Journal of digital imaging (2023)
Quang-Hien Kha, Viet-Huan Le, Truong Nguyen Khanh Hung, Ngan Thi Kim Nguyen, Nguyen-Quoc-Khanh Le
Development and Validation of an Explainable Machine Learning-Based Prediction Model for Drug-Food Interactions from Chemical Structures. Sensors (Basel, Switzerland) 23 (8) (2023)
Nguyen-Quoc-Khanh Le, Wanru Li, Yanshuang Cao
Sequence-based prediction model of protein crystallization propensity using machine learning and two-level feature selection. Briefings in bioinformatics (2023)
Quang-Hien Kha, Viet-Huan Le, Truong Nguyen Khanh Hung, Ngan Thi Kim Nguyen, Nguyen-Quoc-Khanh Le
Development and Validation of an Explainable Machine Learning-Based Prediction Model for Drug-Food Interactions from Chemical Structures. Sensors (Basel, Switzerland) 23 (8) (2023)
Qitong Yuan, Keyi Chen, Yimin Yu, Nguyen-Quoc-Khanh Le, Matthew Chin Heng Chua
Prediction of anticancer peptides based on an ensemble model of deep learning and machine learning using ordinal positional encoding. Briefings in bioinformatics 24 (1) (2023)
Quang-Hien Kha, Viet-Huan Le, Truong Nguyen Khanh Hung, Ngan Thi Kim Nguyen, Nguyen-Quoc-Khanh Le
Development and Validation of an Explainable Machine Learning-Based Prediction Model for Drug-Food Interactions from Chemical Structures. Sensors (Basel, Switzerland) 23 (8) (2023)
Thi-Oanh Tran, Thanh Hoa Vo, Nguyen-Quoc-Khanh Le
Omics-based deep learning approaches for lung cancer decision-making and therapeutics development. Briefings in functional genomics (2023)
Zhengyun Zhao, Jingyu Gui, Anqi Yao, Nguyen-Quoc-Khanh Le, Matthew Chin Heng Chua
Improved Prediction Model of Protein and Peptide Toxicity by Integrating Channel Attention into a Convolutional Neural Network and Gated Recurrent Units. ACS omega 7 (44) (2022)
Dang Khanh Ngan Ho, Yu-Chieh Lee, Wan-Chun Chiu, Yi-Ta Shen, Chih-Yuan Yao, Hung-Kuo Chu, Wei-Ta Chu, Nguyen-Quoc-Khanh Le, Hung Trong Nguyen, Hsiu-Yueh Su, Jung-Su Chang
COVID-19 and Virtual Nutrition: A Pilot Study of Integrating Digital Food Models for Interactive Portion Size Education. Nutrients 14 (16) (2022)
Huy Hoang Dang, Hoang Dang Khoa Ta, Truc T T Nguyen, Gangga Anuraga, Chih-Yang Wang, Kuen-Haur Lee, Nguyen-Quoc-Khanh Le
Prospective role and immunotherapeutic targets of sideroflexin protein family in lung adenocarcinoma: evidence from bioinformatics validation. Functional & integrative genomics 22 (5) (2022)
Jason C Hsu, Phung Anh Alex Nguyen, Phan Thanh Phuc, Tsai-Chih Lo, Min-Huei Hsu, Min-Shu Hsieh, Nguyen-Quoc-Khanh Le, Chi-Tsun Cheng, Tzu-Hao Chang, Cheng-Yu Chen
Development and Validation of Novel Deep-Learning Models Using Multiple Data Types for Lung Cancer Survival. Cancers 14 (22) (2022)
Mohammad Hendra Setia Lesmana, Nguyen-Quoc-Khanh Le, Wei-Che Chiu, Kuo-Hsuan Chung, Chih-Yang Wang, Lalu Muhammad Irham, Min-Huey Chung
Genomic-Analysis-Oriented Drug Repurposing in the Search for Novel Antidepressants. Biomedicines 10 (8) (2022)
Quang-Hien Kha, Quang-Thai Ho, Nguyen-Quoc-Khanh Le
Identifying SNARE Proteins Using an Alignment-Free Method Based on Multiscan Convolutional Neural Network and PSSM Profiles. Journal of chemical information and modeling 62 (19) (2022)
Truong Nguyen Khanh Hung, Nguyen-Quoc-Khanh Le, Ngoc Hoang Le, Le Van Tuan, Thuan Phuoc Nguyen, Cao Thi, Jiunn-Horng Kang
An AI-based Prediction Model for Drug-drug Interactions in Osteoporosis and Paget's Diseases from SMILES. Molecular informatics 41 (6) (2022)
Chuan-Ming Liu, Van-Dai Ta, Nguyen-Quoc-Khanh Le, Direselign Addis Tadesse, Chongyang Shi
Deep Neural Network Framework Based on Word Embedding for Protein Glutarylation Sites Prediction. Life (Basel, Switzerland) 12 (8) (2022)
Luu Ho Thanh Lam, Duyen Thi Do, Doan Thi Ngoc Diep, Dang Le Nhu Nguyet, Quang Dinh Truong, Tran Thanh Tri, Huynh Ngoc Thanh, Nguyen-Quoc-Khanh Le
Molecular subtype classification of low-grade gliomas using magnetic resonance imaging-based radiomics and machine learning. NMR in biomedicine 35 (11) (2022)
Truong Nguyen Khanh Hung, Vu Pham Thao Vy, Nguyen Minh Tri, Le Ngoc Hoang, Le Van Tuan, Quang Thai Ho, Nguyen-Quoc-Khanh Le, Jiunn-Horng Kang
Automatic Detection of Meniscus Tears Using Backbone Convolutional Neural Networks on Knee MRI. Journal of magnetic resonance imaging : JMRI (2022)
Quynh Thi Vu Huynh, Nguyen-Quoc-Khanh Le, Shih-Yi Huang, Ban Tran Ho, Tru Huy Vu, Hong Thi Minh Pham, An Le Pham, Jia-Woei Hou, Ngan Thi Kim Nguyen, Yang Ching Chen
Development and Validation of Clinical Diagnostic Model for Girls with Central Precocious Puberty: Machine-learning Approaches. PloS one 17 (1) (2022)
Luu Ho Thanh Lam, Ngan Thy Chu, Thi-Oanh Tran, Duyen Thi Do, Nguyen-Quoc-Khanh Le
A Radiomics-Based Machine Learning Model for Prediction of Tumor Mutational Burden in Lower-Grade Gliomas. Cancers 14 (14) (2022)
Vu Pham Thao Vy, Melissa Min-Szu Yao, Nguyen-Quoc-Khanh Le, Wing P Chan
Machine Learning Algorithm for Distinguishing Ductal Carcinoma In Situ from Invasive Breast Cancer. Cancers 14 (10) (2022)
Quang-Thai Ho, Nguyen-Quoc-Khanh Le, Yu-Yen Ou
mCNN-ETC: identifying electron transporters and their functional families by using multiple windows scanning techniques in convolutional neural networks with evolutionary information of protein sequences. Briefings in bioinformatics (2021)
Sian Soo Tng, Nguyen-Quoc-Khanh Le, Hui-Yuan Yeh, Matthew Chin Heng Chua
Improved Prediction Model of Protein Lysine Crotonylation Sites Using Bidirectional Recurrent Neural Networks. Journal of proteome research (2021)
Viet-Huan Le, Quang-Hien Kha, Truong Nguyen Khanh Hung, Nguyen-Quoc-Khanh Le
Risk Score Generated from CT-Based Radiomics Signatures for Overall Survival Prediction in Non-Small Cell Lung Cancer. Cancers 13 (14) (2021)
Fang-Ying Chiu, Nguyen-Quoc-Khanh Le, Cheng-Yu Chen
A Multiparametric MRI-Based Radiomics Analysis to Efficiently Classify Tumor Subregions of Glioblastoma: A Pilot Study in Machine Learning. Journal of clinical medicine 10 (9) (2021)
Luong Huu Dang, Nguyen Tan Dung, Ly Xuan Quang, Le Quang Hung, Ngoc Hoang Le, Nhi Thao Ngoc Le, Nguyen Thi Diem, Nguyen Thi Thuy Nga, Shih-Han Hung, Nguyen-Quoc-Khanh Le
Machine Learning-Based Prediction of Drug-Drug Interactions for Histamine Antagonist Using Hybrid Chemical Features. Cells 10 (11) (2021)
Justin Bo-Kai Hsu, Tzong-Yi Lee, Sho-Jen Cheng, Gilbert Aaron Lee, Yung-Chieh Chen, Nguyen-Quoc-Khanh Le, Shiu-Wen Huang, Duen-Pang Kuo, Yi-Tien Li, Tzu-Hao Chang, Cheng-Yu Chen
Identification of Differentially Expressed Genes in Different Glioblastoma Regions and Their Association with Cancer Stem Cell Development and Temozolomide Response. Journal of personalized medicine 11 (11) (2021)
Huy-Hoang Dang, Hoang Dang Khoa Ta, Truc Tran Thanh Nguyen, Gangga Anuraga, Chih-Yang Wang, Kuen-Haur Lee, Nguyen-Quoc-Khanh Le
Identifying GPSM Family Members as Potential Biomarkers in Breast Cancer: A Comprehensive Bioinformatics Analysis. Biomedicines 9 (9) (2021)
Duyen Thi Do, Thanh Quynh Trang Le, Nguyen-Quoc-Khanh Le
Using deep neural networks and biological subwords to detect protein S-sulfenylation sites. Briefings in bioinformatics 22 (3) (2021)
Nguyen-Quoc-Khanh Le, Quang Hien Kha, Van Hiep Nguyen, Yung-Chieh Chen, Sho-Jen Cheng, Cheng-Yu Chen
Machine Learning-Based Radiomics Signatures for EGFR and KRAS Mutations Prediction in Non-Small-Cell Lung Cancer. International journal of molecular sciences 22 (17) (2021)
Quang-Hien Kha, Viet-Huan Le, Truong Nguyen Khanh Hung, Nguyen-Quoc-Khanh Le
Development and Validation of an Efficient MRI Radiomics Signature for Improving the Predictive Performance of 1p/19q Co-Deletion in Lower-Grade Gliomas. Cancers 13 (21) (2021)
Nguyen-Quoc-Khanh Le, Duyen Thi Do, Fang-Ying Chiu, Edward Kien Yee Yapp, Hui-Yuan Yeh, Cheng-Yu Chen
XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma. Journal of personalized medicine 10 (3) (2020)
Luu Ho Thanh Lam, Ngoc Hoang Le, Le Van Tuan, Ho Tran Ban, Truong Nguyen Khanh Hung, Ngan Thi Kim Nguyen, Luong Huu Dang, Nguyen-Quoc-Khanh Le
Machine Learning Model for Identifying Antioxidant Proteins Using Features Calculated from Primary Sequences. Biology 9 (10) (2020)
Nguyen-Quoc-Khanh Le, Quang-Thai Ho, Yu-Yen Ou
Using two-dimensional convolutional neural networks for identifying GTP binding sites in Rab proteins. Journal of bioinformatics and computational biology 17 (1) (2020)
Justin Bo-Kai Hsu, Gilbert Aaron Lee, Tzu-Hao Chang, Shiu-Wen Huang, Nguyen-Quoc-Khanh Le, Yung-Chieh Chen, Duen-Pang Kuo, Yi-Tien Li, Cheng-Yu Chen
Radiomic Immunophenotyping of GSEA-Assessed Immunophenotypes of Glioblastoma and Its Implications for Prognosis: A Feasibility Study. Cancers 12 (10) (2020)
Nguyen-Quoc-Khanh Le, Duyen Thi Do, Truong Nguyen Khanh Hung, Luu Ho Thanh Lam, Tuan Tu Huynh, Ngan Thi Kim Nguyen
A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification. International journal of molecular sciences 21 (23) (2020)
Nguyen-Quoc-Khanh Le, Edward Kien Yee Yapp, Hui-Yuan Yeh
ET-GRU: using multi-layer gated recurrent units to identify electron transport proteins. BMC bioinformatics 20 (1) (2019)
Nguyen-Quoc-Khanh Le
iN6-methylat (5-step): identifying DNA N6-methyladenine sites in rice genome using continuous bag of nucleobases via Chou's 5-step rule. Molecular genetics and genomics : MGG 294 (5) (2019)
Nguyen-Quoc-Khanh Le
Fertility-GRU: Identifying Fertility-Related Proteins by Incorporating Deep-Gated Recurrent Units and Original Position-Specific Scoring Matrix Profiles. Journal of proteome research 18 (9) (2019)
Nguyen-Quoc-Khanh Le, Quang-Thai Ho, Yu-Yen Ou
Incorporating deep learning with convolutional neural networks and position specific scoring matrices for identifying electron transport proteins. Journal of computational chemistry 38 (23) (2017)

Nguyen-Quoc-Khanh Le.css-eqlu8i{font-size:small;padding-left:4px;} (Nguyen Quoc Khanh Le, Nguyen Quoc Khanh Le)

Publication Activity (10 Years)

Top Topics

Top Venues

Nguyen-Quoc-Khanh Le (Nguyen Quoc Khanh Le, Nguyen Quoc Khanh Le)