Xiaohui Yao

GREMI: an Explainable Multi-omics Integration Framework for Enhanced Disease Prediction and Module Identification

GREMI improves multi-omics disease prediction by integrating biomolecular interactions and provides interpretable module identification.

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.

Genetic Influence underlying Brain Connectivity Phenotype: A Study on Two Age-Specific Cohorts

This study identifies genetic influences on brain connectivity across age groups using GWAS and finds a consistent effect of rs7937515 on network segregation in the left middle temporal gyrus.