Table 3.
Finite Mixture Model (FMM): maximum a posteriori allocation
| Component # tissue | 1 | 2 | 3 | Entropy (average) |
|---|---|---|---|---|
| Brain A | 3 | 0 | 0 | 0.0204 |
| Brain B | 3 | 0 | 0 | 0.3287 |
| Brain C | 2 | 0 | 0 | 0.1691 |
| Fetal heart | 2 | 0 | 0 | 0.0000 |
| Fetal kidney | 3 | 0 | 0 | 0.1690 |
| Fetal lung | 3 | 0 | 0 | 0.0000 |
| Fetal sk. muscle | 3 | 0 | 0 | 0.0000 |
| Fetal spleen | 3 | 0 | 0 | 0.0199 |
| Fetal thymus | 3 | 0 | 0 | 0.0150 |
| Heart A | 3 | 0 | 0 | 0.0000 |
| Heart B | 0 | 0 | 3 | 0.0067 |
| Kidney | 2 | 0 | 0 | 0.0000 |
| Liver A | 0 | 3 | 0 | 0.0008 |
| Liver B | 0 | 3 | 0 | 0.0005 |
| Lung | 2 | 0 | 0 | 0.0000 |
| Pancreas | 0 | 0 | 2 | 0.0001 |
| Placenta | 3 | 0 | 0 | 0.0000 |
| Sk. muscle A | 3 | 0 | 0 | 0.0010 |
| Sk. muscle B | 2 | 1 | 0 | 0.1928 |
| Uterus | 0 | 3 | 0 | 0.0035 |
Finite Mixture Model (FMM): posterior classification of human tissues into components. The table shows the maximum a posteriori allocation (MAP) of each tissue of the panel to the highest probability component of the finite mixture. The associated Entropy (average) is also shown