Xiyan Yang

This study introduces a stochastic model to analyze nascent RNA kinetics with complex promoters and develops a method to infer promoter memory from stationary RNA distributions, validated on synthetic and HIV-1 data.

This paper introduces a generalized telegraph model and Bayesian inference method to infer transcriptional burst kinetics from single-cell data, showing improved accuracy over classical models.

The paper develops a generalized telegraph model to capture bimodal gene expression dynamics caused by silent transcription intervals and translational bursting, showing these factors can generate two nonzero bimodalities not captured by classical models.

The paper analyzes a complex promoter model with multiple ON and OFF states to show how transcriptional bursting kinetics are shaped by promoter cycle mechanisms.