Yuguang Xiong

The paper identifies cardiotoxic drug signatures using bulk transcriptomics and integrates them with genomic and single-cell data to predict toxicity mechanisms.

The paper constructs a reference tissue atlas of the human kidney using multi-omics data to identify cell types, pathways, and genes across nephron segments and interstitium.

This paper introduces structural gene expression signatures (sGES) derived from protein structure features, showing their utility in identifying robust biological signatures across datasets and experimental platforms.

This study compares 3-DGE and conventional mRNAseq, finding similar gene expression results with 3-DGE offering cost savings and scalability.