Yang Zhang

MIA is a tensor-based framework for multi-omics data integration that improves clustering and feature discovery, showing effectiveness in cancer subtype identification.

The paper identifies non-mutational p53 functional deficiency in TP53 wild-type tumors using SVM models, revealing significant functional impairment and clinical implications.

SoyOmics integrates soybean multi-omics data to support functional studies and molecular breeding by providing a centralized database with analysis tools.