Mengtao Sun

SAMP V2 improves antimicrobial peptide identification by integrating biochemical and sequence-order information into split amino acid composition, outperforming existing models on multiple datasets.

RaMBat accurately identifies medulloblastoma subtypes from diverse data sources with severe batch effects, achieving 99% median accuracy.

MetaPaCS improves pancreatic cancer subtype identification using a meta-learning framework that combines multiple base classifiers, outperforming individual models and existing methods.

SAMP identifies antimicrobial peptides using an ensemble model with new features, outperforming existing methods on multiple datasets.