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Table 3 Finite Mixture Model (FMM): maximum a posteriori allocation

From: Finite mixture clustering of human tissues with different levels of IGF-1 splice variants mRNA transcripts

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

  1. 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