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ORCIDNguyen-Quoc-Khanh Le
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2020 – today
- 2024
[j35]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: 107662 (2024)- [j34]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: 108408 (2024) - [j33]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: 108664 (2024) - [c8]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: 134-144 - [c7]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: 157-167 - 2023
- [j32]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) - [j31]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) - [j30]Tran Nguyen Tuan Minh, Viet-Huan Le, Nguyen-Quoc-Khanh Le:
Diffusion-tensor imaging and dynamic susceptibility contrast MRIs improve radiomics-based machine learning model of MGMT promoter methylation status in glioblastomas. Biomed. Signal Process. Control. 86(Part A): 105122 (2023) - [j29]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): 911-922 (2023) - [j28]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): 2699-2712 (2023) - [j27]Nguyen-Quoc-Khanh Le:
Predicting emerging drug interactions using GNNs. Nat. Comput. Sci. 3(12): 1007-1008 (2023) - [j26]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): 3962 (2023) - [c6]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: 87:1 - [c5]Nguyen-Quoc-Khanh Le, Quang-Hien Kha:
A Sequence-Based Prediction Model of Vesicular Transport Proteins Using Ensemble Deep Learning. BCB 2023: 106:1-106:6 - [c4]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: 2556-2565 - [c3]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 - [i1]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 abs/2309.03506 (2023) - 2022
- [j25]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): 2720-2744 (2022) - [j24]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) - [j23]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: 107732 (2022) - [j22]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): 2946-2968 (2022) - [j21]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): 4820-4826 (2022) - [j20]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): 87-94 (2022) - [j19]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): 1235-1244 (2022) - [j18]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): 1852-1868 (2022) - [c2]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: 539-543 - 2021
- [j17]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) - [j16]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) - [j15]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: 104212 (2021) - [j14]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: 104258 (2021) - [j13]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: 104320 (2021) - [j12]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): 2189-2197 (2021) - 2020
- [j11]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: 71-79 (2020) - [j10]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): 9671-9682 (2020)
2010 – 2019
- 2019
- [j9]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): 377:1-377:12 (2019) - [j8]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: 81-88 (2019) - [j7]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): 1950005:1-1950005:19 (2019) - [j6]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: e177 (2019) - 2018
- [j5]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): 3111-3117 (2018) - [j4]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: 251-260 (2018) - 2017
- [j3]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): 2000-2006 (2017) - 2016
- [j2]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): 183-192 (2016) - [j1]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: 298 (2016) - [c1]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: 101-108
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last updated on 2024-10-07 22:10 CEST by the dblp team
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