Bayesian Mixture Model Analysis for Detecting Differentially Expressed Genes

Table 1

Parameters used in the simulation experiment and their estimates from the Bayesian mixture model analysis.

Parameter		𝛽𝑘	𝜋𝑘	𝜈𝑘	𝜎^2	−1
True	Group 1	3.5	1.2	0.005	0.01	0.03
	Group 2	4	0	0.345	0.04
	Group 3	4.5	−1	0.02	0.02
	Group 4	0	0	0.615	0.04
	Group 5	0	0.8	0.005	0.01
	Group 6	0	0.9	0.01	0.01
True (combined)	Cluster 1	—	−0.984	0.020	0.02	0.03
	Cluster 2	—	0	0.960	0.04
	Cluster 3	—	0.95	0.020	0.03
Estimated	Cluster 1	—	𝛽	0.023	0.03	0.03
	Cluster 2	—	0	0.937	0.04
	Cluster 3	—	0.702	0.040	0.11