Feng Jiao

The paper uses a simplified telegraph model to analyze transcriptional burst regulation in scRNA-seq and smFISH data, revealing key regulatory patterns in mouse and human tissues.

This paper introduces a moments-based framework to infer transcriptional kinetics from nascent RNA data, showing improved accuracy in model selection and distinguishing promoter activation mechanisms.

The paper analyzes epidemic extinction dynamics by incorporating generation time, showing that shorter generation times can temporarily increase extinction risk.

This study uses multi-omics data to identify metabolic, mitochondrial, and extracellular matrix dysregulation in diabetic cardiomyopathy.

This study mathematically characterizes the phase diagram of protein distribution shapes in autoregulatory gene circuits, identifying three steady-state shapes and their parameter regions.