DeepEfflux: a 2D convolutional neural network model for identifying families of efflux proteins in transporters. - Semmy Wellem Taju; Trinh-Trung-Duong Nguyen; Nguyen-Quoc-Khanh Le; Rosdyana Mangir Irawan Kusuma; Yu-Yen Ou (Bioinform., 2018)

A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information. - Nguyen-Quoc-Khanh Le; Quang-Thai Ho; Trinh-Trung-Duong Nguyen; Yu-Yen Ou (Briefings Bioinform., 2021)

Addressing data imbalance problems in ligand-binding site prediction using a variational autoencoder and a convolutional neural network. - Trinh-Trung-Duong Nguyen; Duc-Khanh Nguyen; Yu-Yen Ou (Briefings Bioinform., 2021)

FAD-BERT: Improved prediction of FAD binding sites using pre-training of deep bidirectional transformers. - Quang-Thai Ho; Trinh-Trung-Duong Nguyen; Nguyen-Quoc-Khanh Le; Yu-Yen Ou (Comput. Biol. Medicine, 2021)

Incorporating a transfer learning technique with amino acid embeddings to efficiently predict N-linked glycosylation sites in ion channels. - Trinh-Trung-Duong Nguyen; Nguyen-Quoc-Khanh Le; The-Anh Tran; Dinh-Minh Pham; Yu-Yen Ou (Comput. Biol. Medicine, 2021)

GT-Finder: Classify the family of glucose transporters with pre-trained BERT language models. - Syed Muazzam Ali Shah; Semmy Wellem Taju; Quang-Thai Ho; Trinh-Trung-Duong Nguyen; Yu-Yen Ou (Comput. Biol. Medicine, 2021)

A Deep Learning Model for Wound Size Measurement Using Fingernails. - Duc-Khanh Nguyen; Dun-Hao Chang; Thi-Ngoc Nguyen; Trinh-Trung-Duong Nguyen; Chien-Lung Chan (ICMHI, 2022)

Use Chou's 5-Steps Rule With Different Word Embedding Types to Boost Performance of Electron Transport Protein Prediction Model. - Trinh-Trung-Duong Nguyen; Quang-Thai Ho; Nguyen-Quoc-Khanh Le; Van-Dinh Phan; Yu-Yen Ou (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)

An Extensive Examination of Discovering 5-Methylcytosine Sites in Genome-Wide DNA Promoters Using Machine Learning Based Approaches. - Trinh-Trung-Duong Nguyen; The-Anh Tran; Nguyen-Quoc-Khanh Le; Dinh-Minh Pham; Yu-Yen Ou (IEEE ACM Trans. Comput. Biol. Bioinform., 2022)