“…To assess the sensitivity of the Bayesian results to the inputs of hyperparameters in the prior distributions, we reanalyzed the data set by using different values of c, π i , h, R 0 , ρ 0 , and τ . For instance, using c = 5 as suggested by Lamnisos et al (2009), π i = 0.007, h = 200, R 0 = 4I, ρ 0 = 6, and τ = 0.005, the identification of the relevant genes and the performance of classification are essentially the same as before.…”