Research Article
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 | | | | | | |
| 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 | | 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 | — | | 0.020 | 0.02 | 0.03 | Cluster 2 | — | 0 | 0.960 | 0.04 | Cluster 3 | — | 0.95 | 0.020 | 0.03 |
| Estimated | Cluster 1 | — | | 0.023 | 0.03 | 0.03 | Cluster 2 | — | 0 | 0.937 | 0.04 | Cluster 3 | — | 0.702 | 0.040 | 0.11 |
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