Quang-thai Ho
Zhongli, TNQ 32003, Taiwan
Last Updated: 09/26/2026
Save publications for later
Sign Up
Not sure about your diagnosis?
Check Your Symptoms
Found 17 publications
msCNN-PLM-FAD: Enhanced predicting FAD binding sites by using protein language representation combined with multiple separable windows convolutional neural networks.
Journal: Analytical biochemistry
Published: August 28, 2025
Recent advances in features generation for membrane protein sequences: From multiple sequence alignment to pre-trained language models.
Journal: Proteomics
Published: March 21, 2023
Identifying SNARE Proteins Using an Alignment-Free Method Based on Multiscan Convolutional Neural Network and PSSM Profiles.
Journal: Journal of chemical information and modeling
Published: September 27, 2022
BERT-Promoter: An improved sequence-based predictor of DNA promoter using BERT pre-trained model and SHAP feature selection.
Journal: Computational biology and chemistry
Published: June 16, 2022
Deep transformers and convolutional neural network in identifying DNA N6-methyladenine sites in cross-species genomes.
Journal: Methods (San Diego, Calif.)
Published: November 13, 2021
MFPS_CNN: Multi-filter Pattern Scanning from Position-specific Scoring Matrix with Convolutional Neural Network for Efficient Prediction of Ion Transporters.
Journal: Molecular informatics
Published: October 09, 2021
Using multiple convolutional window scanning of convolutional neural network for an efficient prediction of ATP-binding sites in transport proteins.
Journal: Proteins
Published: September 04, 2021
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.
Journal: Briefings in bioinformatics
Published: May 18, 2021
A transformer architecture based on BERT and 2D convolutional neural network to identify DNA enhancers from sequence information.
Journal: Briefings in bioinformatics
Published: December 18, 2020
FAD-BERT: Improved prediction of FAD binding sites using pre-training of deep bidirectional transformers.
Journal: Computers in biology and medicine
Published: December 15, 2020
GT-Finder: Classify the family of glucose transporters with pre-trained BERT language models.
Journal: Computers in biology and medicine
Published: November 04, 2020
TNFPred: identifying tumor necrosis factors using hybrid features based on word embeddings.
Journal: BMC medical genomics
Published: October 22, 2020
Last Updated: 09/26/2026