Nguyen-Quoc-Khanh Le

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 43

Top Topics

Protein Sequences

Survival Prediction

Top Venues

Comput. Biol. Medicine

Briefings Bioinform.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

Thi-Oanh Tran, Nguyen-Quoc-Khanh Le
Sa-TTCA: An SVM-based approach for tumor T-cell antigen classification using features extracted from biological sequencing and natural language processing. Comput. Biol. Medicine 174 (2024)
Shreya Singh, Nguyen-Quoc-Khanh Le, Cheng Wang
VF-Pred: Predicting virulence factor using sequence alignment percentage and ensemble learning models. Comput. Biol. Medicine 168 (2024)
Quang-Hien Kha, Minh Huu Nhat Le, Lam Huu Phuc Nguyen, Minh Nguyen Tuan Tran, Linh My Nguyen, Hung Quay Thong, Nguyen-Quoc-Khanh Le
SISU: A Holistic Self-training Framework on Semi-supervised White Blood Cell Segmentation. TAI4H (2024)
Thi-Oanh Tran, Quang-Hien Kha, Nguyen-Quoc-Khanh Le
RF-Lung-DR: Integrating Biological and Drug SMILES Features in a Random Forest-Based Drug Response Predictor for Lung Cancer Cell Lines. TAI4H (2024)
Van-Nui Nguyen, Trang-Thi Ho, Thu-Dung Doan, Nguyen-Quoc-Khanh Le
Using a hybrid neural network architecture for DNA sequence representation: A study on N4-methylcytosine sites. Comput. Biol. Medicine 178 (2024)
Viet-Huan Le, Quang-Hien Kha, Minh-Tien Nguyen, 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. J. Digit. Imaging 36 (3) (2023)
Thanh-Huy Nguyen, Quang-Hien Kha, Thai Ngoc Toan Truong, Ba Thinh Lam, Ba Hung Ngo, Quang Vinh Dinh, Nguyen-Quoc-Khanh Le
Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis. ICCV (Workshops) (2023)
Nguyen-Quoc-Khanh Le, Quang-Hien Kha
A Sequence-Based Prediction Model of Vesicular Transport Proteins Using Ensemble Deep Learning. BCB (2023)
Nguyen-Quoc-Khanh Le
Predicting emerging drug interactions using GNNs. Nat. Comput. Sci. 3 (12) (2023)
Nguyen-Kieu Viet-Nhi, Nguyen-Quoc-Khanh Le, Vu Cong Truc, Thi Thuy Nguyen, Tran Nguyen Anh Duy, Nguyen Tu Thai Bao, How Tseng, Shih-Han Hung
Predicting Tumor Mutational Burden and Survival in Head and Neck Squamous Cancer Patients Using Machine Learning and Bioinformatics Approaches. BCB (2023)
Thanh-Huy Nguyen, Quang-Hien Kha, Thai Ngoc Toan Truong, Ba Thinh Lam, Ba Hung Ngo, Quang Vinh Dinh, Nguyen-Quoc-Khanh Le
Towards Robust Natural-Looking Mammography Lesion Synthesis on Ipsilateral Dual-Views Breast Cancer Analysis. CoRR (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 Bioinform. 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 23 (8) (2023)
Viet-Huan Le, Tran Nguyen Tuan Minh, Quang-Hien Kha, Nguyen-Quoc-Khanh Le
An MRI-based radiomics signatures for overall survival prediction of gliomas patients. Medical Imaging: Computer-Aided Diagnosis (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 Bioinform. 24 (5) (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 Biol. Eng. Comput. 61 (10) (2023)
Nguyen-Quoc-Khanh Le, Quang-Thai Ho, Van-Nui Nguyen, Jung-Su Chang
BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection. Comput. Biol. Chem. 99 (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 Bioinform. 23 (1) (2022)
Trinh-Trung-Duong Nguyen, Quang-Thai Ho, Nguyen-Quoc-Khanh Le, Van-Dinh Phan, Yu-Yen Ou
Use Chou's 5-Steps Rule With Different Word Embedding Types to Boost Performance of Electron Transport Protein Prediction Model. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (2) (2022)
Tuan-Tu Huynh, Chih-Min Lin, Duc-Hung Pham, Ngoc Phi Nguyen, Nguyen-Quoc-Khanh Le, Mai The Vu, Van-Phong Vu, Fei Chao
4-D Memristive Chaotic Systems-Based Audio Secure Communication Using Dual-Function-Link Fuzzy Brain Emotional Controller. Int. J. Fuzzy Syst. 24 (6) (2022)
Tuan-Tu Huynh, Chih-Min Lin, Tien-Loc Le, Nguyen-Quoc-Khanh Le, Van-Phong Vu, Fei Chao
Self-Organizing Double Function-Link Fuzzy Brain Emotional Control System Design for Uncertain Nonlinear Systems. IEEE Trans. Syst. Man Cybern. Syst. 52 (3) (2022)
Trinh-Trung-Duong Nguyen, The-Anh Tran, Nguyen-Quoc-Khanh Le, Dinh-Minh Pham, Yu-Yen Ou
An Extensive Examination of Discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters Using Machine Learning Based Approaches. IEEE ACM Trans. Comput. Biol. Bioinform. 19 (1) (2022)
Tuan-Tu Huynh, Chih-Min Lin, Nguyen-Quoc-Khanh Le, Mai The Vu, Ngoc Phi Nguyen, Fei Chao
Intelligent wavelet fuzzy brain emotional controller using dual function-link network for uncertain nonlinear control systems. Appl. Intell. 52 (3) (2022)
Nguyen-Quoc-Khanh Le, Quang-Hien Kha
Prediction of Protein-Protein Interactions through Deep Learning Based on Sequence Feature Extraction and Interaction Network. BioCAS (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. J. Chem. Inf. Model. 62 (19) (2022)
Nguyen-Quoc-Khanh Le, Quang-Thai Ho, Trinh-Trung-Duong Nguyen, Yu-Yen Ou
A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information. Briefings Bioinform. 22 (5) (2021)
Nguyen-Quoc-Khanh Le, Binh P. Nguyen
Prediction of FMN Binding Sites in Electron Transport Chains Based on 2-D CNN and PSSM Profiles. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Quang-Thai Ho, Trinh-Trung-Duong Nguyen, Nguyen-Quoc-Khanh Le, Yu-Yen Ou
FAD-BERT: Improved prediction of FAD binding sites using pre-training of deep bidirectional transformers. Comput. Biol. Medicine 131 (2021)
Nguyen-Quoc-Khanh Le, Truong Nguyen Khanh Hung, Duyen Thi Do, Luu Ho Thanh Lam, Luong Huu Dang, Tuan-Tu Huynh
Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI. Comput. Biol. Medicine 132 (2021)
Trinh-Trung-Duong Nguyen, Nguyen-Quoc-Khanh Le, The-Anh Tran, Dinh-Minh Pham, Yu-Yen Ou
Incorporating a transfer learning technique with amino acid embeddings to efficiently predict N-linked glycosylation sites in ion channels. Comput. Biol. Medicine 130 (2021)
Duyen Thi Do, Trang Thanh Quynh Le, Nguyen-Quoc-Khanh Le
Using deep neural networks and biological subwords to detect protein S-sulfenylation sites. Briefings Bioinform. 22 (3) (2021)
Tuan-Tu Huynh, Chih-Min Lin, Tien-Loc Le, Hsing-Yueh Cho, Thanh-Thao T. Pham, Nguyen-Quoc-Khanh Le, Fei Chao
A New Self-Organizing Fuzzy Cerebellar Model Articulation Controller for Uncertain Nonlinear Systems Using Overlapped Gaussian Membership Functions. IEEE Trans. Ind. Electron. 67 (11) (2020)
Nguyen-Quoc-Khanh Le, Quang-Thai Ho, Edward Kien Yee Yapp, Yu-Yen Ou, Hui-Yuan Yeh
DeepETC: A deep convolutional neural network architecture for investigating and classifying electron transport chain's complexes. Neurocomputing 375 (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. J. Bioinform. Comput. Biol. 17 (1) (2019)
Nguyen-Quoc-Khanh Le, Tuan-Tu Huynh, Edward Kien Yee Yapp, Hui-Yuan Yeh
Identification of clathrin proteins by incorporating hyperparameter optimization in deep learning and PSSM profiles. Comput. Methods Programs Biomed. 177 (2019)
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 Bioinform. 20 (1) (2019)
Nguyen-Quoc-Khanh Le, Van-Nui Nguyen
SNARE-CNN: a 2D convolutional neural network architecture to identify SNARE proteins from high-throughput sequencing data. PeerJ Comput. Sci. 5 (2019)
Nguyen-Quoc-Khanh Le, Green Arther Sandag, Yu-Yen Ou
Incorporating post translational modification information for enhancing the predictive performance of membrane transport proteins. Comput. Biol. Chem. 77 (2018)
Semmy Wellem Taju, Trinh-Trung-Duong Nguyen, Nguyen-Quoc-Khanh Le, Rosdyana Mangir Irawan Kusuma, Yu-Yen Ou
DeepEfflux: a 2D convolutional neural network model for identifying families of efflux proteins in transporters. Bioinform. 34 (18) (2018)
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. J. Comput. Chem. 38 (23) (2017)
Nguyen-Quoc-Khanh Le, Yu-Yen Ou
Incorporating efficient radial basis function networks and significant amino acid pairs for predicting GTP binding sites in transport proteins. BMC Bioinform. 17 (S-19) (2016)
Nguyen-Quoc-Khanh Le, Yu-Yen Ou
Prediction of FAD binding sites in electron transport proteins according to efficient radial basis function networks and significant amino acid pairs. BMC Bioinform. 17 (2016)
Semmy Wellem Taju, Nguyen-Quoc-Khanh Le, Yu-Yen Ou
Using Deep Learning with Position Specific Scoring Matrices to Identify Efflux Proteins in Membrane and Transport Proteins. BIBE (2016)