Radiomics-based machine learning model for efficiently classifying transcriptome subtypes in glioblastoma patients from MRI NQK Le, TNK Hung, DT Do, LHT Lam, LH Dang, TT Huynh Computers in Biology and Medicine 132, 104320, 2021 | 88 | 2021 |
Molecular subtype classification of low‐grade gliomas using magnetic resonance imaging‐based radiomics and machine learning LHT Lam, DT Do, DTN Diep, DLN Nguyet, QD Truong, TT Tri, HN Thanh, ... NMR in Biomedicine 35 (11), e4792, 2022 | 60 | 2022 |
A computational framework based on ensemble deep neural networks for essential genes identification NQK Le, DT Do, TNK Hung, LHT Lam, TT Huynh, NTK Nguyen International journal of molecular sciences 21 (23), 9070, 2020 | 52 | 2020 |
Machine learning model for identifying antioxidant proteins using features calculated from primary sequences L Ho Thanh Lam, NH Le, L Van Tuan, H Tran Ban, T Nguyen Khanh Hung, ... Biology 9 (10), 325, 2020 | 52 | 2020 |
ALDH2 as a potential stem cell-related biomarker in lung adenocarcinoma: Comprehensive multi-omics analysis TO Tran, TH Vo, LHT Lam, NQK Le Computational and Structural Biotechnology Journal 21, 1921-1929, 2023 | 36 | 2023 |
Improving MGMT methylation status prediction of glioblastoma through optimizing radiomics features using genetic algorithm-based machine learning approach DT Do, MR Yang, LHT Lam, NQK Le, YW Wu Scientific Reports 12 (1), 13412, 2022 | 19 | 2022 |
A radiomics-based machine learning model for prediction of tumor mutational burden in lower-grade gliomas LHT Lam, NT Chu, TO Tran, DT Do, NQK Le Cancers 14 (14), 3492, 2022 | 15 | 2022 |
Pathological brain lesions in girls with central precocious puberty at initial diagnosis in Southern Vietnam QTV Huynh, BT Ho, NQK Le, TH Trinh, LHT Lam, NTK Nguyen, SY Huang Annals of Pediatric Endocrinology & Metabolism 27 (2), 105, 2022 | 8 | 2022 |
Hyper-methylation of ABCG1 as an epigenetics biomarker in non-small cell lung cancer TO Tran, LHT Lam, NQK Le Functional & Integrative Genomics 23 (3), 256, 2023 | 3 | 2023 |