Zehui Cao

The paper evaluates seven batch-effect correction algorithms for multiomic data and finds the ratio-based method is more effective, especially when batch effects are confounded with biological factors.

This study compares transcriptomic profiles of whole blood, plasma-free blood, and serum-free blood samples, finding that plasma-free blood is more similar to whole blood in gene expression and immune characterization.

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.