Duyen Thi Do

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.

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..

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.

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.

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.