Mark Jayson Cortez

The paper develops a Bayesian MCMC method to infer gene regulatory network parameters from partial observations, demonstrating its ability to estimate delays and kinetic parameters in a two-step activation model.

The paper introduces a hierarchical Bayesian framework to infer variability in gene regulatory processes with delays using both simulated and experimental data, showing improved parameter estimates.