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Table 1 Simulated estimation of prior degrees of freedom for SMT and IBMT

From: Intensity-based hierarchical Bayes method improves testing for differentially expressed genes in microarray experiments

Dependency strength of variance on intensity Method d0 = 1 d0 = 4 d0 = 16 d0 = 100
Low SMT 0.200 0.494 0.774 0.923
  IBMT 0.200 0.500 0.800 0.963
Middle SMT 0.198 0.472 0.703 0.813
  IBMT 0.200 0.501 0.800 0.961
High SMT 0.194 0.422 0.571 0.630
  IBMT 0.200 0.500 0.801 0.962
  1. Values listed are for the function d0/(d0 + d g ) and are the mean of 100 simulations. Perfect values for each prior degrees of freedom are: d 0 = 1: 0.20, d 0 = 4: 0.50, d 0 = 16: 0.80, and d 0 = 100: 0.962