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Table 2 Finite Mixture Model (FMM): parameter estimates

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

 

Component #1

Component #2

Component #3

μ(IGF1-Ea)k

0.8420

0.8443

0.6772

μ(IGF1-Eb)k

0.1468

0.1166

0.2992

σ2 (IGF1-Ea)k

0.0016

0.0023

0.0011

σ2 (IGF1-Eb)k

0.0013

0.0006

0.0018

σ(Ea, Eb)k

−0.0014

−0.0011

−0.0014

ρ(Ea, Eb)k

−0,9884

−0,9827

−0,9878

πk

0.68322399

0.22616579

0.09061023

  1. Finite Mixture Model (FMM): parameter estimates for the component specific means (μ), variances/covariances (σ), correlations (ρ) and prior probabilities (π)
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BMC Bioinformatics

ISSN: 1471-2105

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