Tao Qing

This paper introduces ratio-based multiomics profiling using universal reference materials to improve data integration across omics types and batches.

The paper introduces RNA reference materials and ratio-based datasets to improve the reliability and benchmarking of transcriptomic profiling.

The paper identifies cancer-relevant genes by analyzing their proximity to core cancer genes in protein-protein interaction networks, finding that genes closer to cancer genes show greater functional importance in cancer biology.

The paper identifies genes with low mutation frequency but significant functional impact in 17 cancer types using network propagation, finding 8 previously unreported genes.

The paper identifies cancer-specific driver gene mutations associated with immunotherapy outcomes in a multi-cancer cohort of 1,525 patients.