Watshara Shoombuatong

Leveraging a meta-learning approach to advance the accuracy of Nav blocking peptides prediction

Accelerating the identification of the allergenic potential of plant proteins using a stacked ensemble-learning framework

Deep-WET: a deep learning-based approach for predicting DNA-binding proteins using word embedding techniques with weighted features

Review of Computational Methods and Database Sources for Predicting the Effects of Coding Frameshift Small Insertion and Deletion Variations

The role of ncRNA regulatory mechanisms in diseases—case on gestational diabetes

StackER: a novel SMILES-based stacked approach for the accelerated and efficient discovery of ERα and ERβ antagonists

Detection of Osteosarcoma using Deep Feature Extraction with Federated Learning and MLP from Histopathological Images

MMPatho: Leveraging Multilevel Consensus and Evolutionary Information for Enhanced Missense Mutation Pathogenic Prediction