D. Do

发表

Improving MGMT methylation status prediction of glioblastoma through optimizing radiomics features using genetic algorithm-based machine learning approach

Luu Ho Thanh Lam, Ming Yang, N. Le, 2022, Scientific Reports.

A Radiomics-Based Machine Learning Model for Prediction of Tumor Mutational Burden in Lower-Grade Gliomas

Luu Ho Thanh Lam, N. Le, D. Do, 2022, Cancers.

Molecular subtype classification of low‐grade gliomas using magnetic resonance imaging‐based radiomics and machine learning

Luu Ho Thanh Lam, N. Le, Huynh Ngoc Thanh, 2022, NMR in biomedicine.

Persea Americana Mill seed extracts: Understanding insights into the antioxidant and antityrosinase activities and effects on preserving qualities of whiteleg shrimp (Litopenaus vannamei) during refrigerated storage.

T. H. Bui, D. Phan, D. Do, 2021, Food chemistry.

XGBoost Improves Classification of MGMT Promoter Methylation Status in IDH1 Wildtype Glioblastoma

Nguyen Quoc Khanh Le, Edward Kien Yee Yapp, Hui-Yuan Yeh, 2020, Journal of personalized medicine.

Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI

Tuan-Tu Huynh, Truong Nguyen Khanh Hung, Luu Ho Thanh Lam, 2021, Comput. Biol. Medicine.

A sequence-based prediction of Kruppel-like factors proteins using XGBoost and optimized features.

Q. Le, N. Le, D. Do, 2021, Gene.

A Computational Framework Based on Ensemble Deep Neural Networks for Essential Genes Identification

Tuan-Tu Huynh, Nguyen Quoc Khanh Le, Duyen Thi Do, 2020, International journal of molecular sciences.

Using extreme gradient boosting to identify origin of replication in Saccharomyces cerevisiae via hybrid features.

Nguyen Quoc Khanh Le, Duyen Thi Do, N. Le, 2020, Genomics.

A sequence-based approach for identifying recombination spots in Saccharomyces cerevisiae by using hyper-parameter optimization in FastText and support vector machine

Nguyen Quoc Khanh Le, Duyen Thi Do, N. Le, 2019, Chemometrics and Intelligent Laboratory Systems.

Identification of gene expression signatures for psoriasis classification using machine learning techniques

Truong Nguyen Khanh Hung, N. Le, N. T. K. Nguyen, 2020, Medicine in Omics.

Dosiomics-Based Prediction of Radiation-Induced Valvulopathy after Childhood Cancer

S. Christodoulidis, M. Vakalopoulou, F. de Vathaire, 2023, Cancers.

Customer churn prediction in an internet service provider

Tu Vu, Phuong Vo, Phuc Huynh, 2017, 2017 IEEE International Conference on Big Data (Big Data).

Using deep neural networks and biological subwords to detect protein S-sulfenylation sites

Trang T. Le, Nguyen Quoc Khanh Le, Duyen Thi Do, 2020, Briefings Bioinform..

Deep learning based representations for cardiac voxelised dosimetric data from childhood cancer therapy

M. Vakalopoulou, Sarah Lemler, R. Allodji, 2022 .