Shing Chiang Tan

A hybrid ensemble-based parallel learning framework for multi-omics data integration and cancer subtype classification

Integrating multi-omics data to understand biological processes in human diseases is a complex bioinformatic task. Machine learning (ML), particularly deep learning (DL) models, offers a promising approach to multi-omics data integration and analysis. However, existing DL models generally integrate multi-omics data by...