Yanhui Wei

MOCAT: Multi-Omics Integration with Auxiliary Classifiers Enhanced Autoencoder

MOCAT improves multi-omics data integration using auxiliary classifiers and attention mechanisms, achieving better classification and biomarker discovery than existing methods.

TEMINET: A Co-Informative and Trustworthy Multi-Omics Integration Network for Diagnostic Prediction

TEMINET improves diagnostic prediction by integrating multi-omics data through co-informative representations and trustworthy learning strategies, showing better performance across four diseases.