Ka‐Lok Ng

The paper develops a network decomposition approach with combinatorial fusion analysis to identify metastasis-associated gene regulatory modules, showing improved performance over existing methods.

The paper uses tensor decomposition to identify miRNA signatures and associated genes in kidney renal clear cell carcinoma, finding 23 genes correlated with patient survival and demonstrating better performance than traditional methods.

This study uses spectral graph theory and complexity measures to analyze molecular networks, finding that graph energy and cyclomatic complexity can specify network motifs effectively.

This study uses tensor decomposition to identify miRNAs and genes associated with ovarian cancer by integrating miRNA expression and promoter methylation data from TCGA.