Andy Tran

This study identifies CCBE1 as a gene associated with mitochondrial dysfunction in atherosclerosis using transcriptomic analysis of endothelial cells from CAD patients.

The paper develops a framework to construct multi-platform precision diagnostic pathways automatically, optimizing for accuracy and cost-effectiveness in clinical settings.

The paper characterizes cell-cell communication patterns in COVID-19 patients to identify differences between moderate and severe disease outcomes using single-cell RNA-seq data.

scREMOTE predicts regulatory gene relationships and builds a computational model for cell reprogramming using multimodal single-cell data, showing improved long-term prediction of transcription factor effects.