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Table 6 Finite Mixture of Linear Mixed Models (FMLMM): maximum a posteriori allocation

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

Tissue

Component

Entropy

Brain A

2

0.0000

Brain B

2

0.0000

Brain C

2

0.0000

Fetal heart

1

0.0000

Fetal kidney

2

0.0000

Fetal lung

2

0.6804

Fetal sk. muscle

1

0.1189

Fetal spleen

2

0.0097

Fetal thymus

1

0.0000

Heart A

2

0.0000

Heart B

3

0.0102

Kidney

2

0.1573

Liver A

1

0.0041

Liver B

1

0.0002

Lung

2

0.1039

Pancreas

3

0.0000

Placenta

1

0.0311

Sk. muscle A

2

0.0501

Sk. muscle B

2

0.0001

Uterus

2

0.0001

  1. Finite Mixture of Linear Mixed Models (FMLMM): 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 is also shown
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BMC Bioinformatics

ISSN: 1471-2105

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