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Table 6 Bayes information criterion (BIC) measure of Gaussian mixture model discretization used to fit gene-expression data for different \({\mathsf {k}}\) number of components

From: Boolean factor graph model for biological systems: the yeast cell-cycle network

Genes BIC Scores (\(1\times 10^{3}\))
\({\mathsf {k}}=1\) \({\mathsf {k}}=2\) \({\mathsf {k}}=3\) \({\mathsf {k}}=4\) \({\mathsf {k}}=5\)
Cln3 2.6183 2.6020 2.6193 2.6397 2.6600
MBF 2.0492 1.8838 1.8913 1.9039 1.9182
SBF 2.0083 1.9608 1.9640 1.9781 1.9901
Cln1,2 2.6117 2.3853 2.3923 2.4117 2.4318
Cdh1 1.7429 1.4212 1.4066 1.4234 1.4404
Swi5 2.3690 2.1339 2.1354 2.1468 2.1660
Cdc20,14 1.7202 1.6175 1.6211 1.6326 1.6525
Clb5,6 2.0188 1.9799 1.9333 1.9374 1.9499
Sic1 1.4909 1.4785 1.4824 1.5027 1.5232
Clb1,2 2.5741 2.5267 2.5218 2.5330 2.5470
Mcm1,SFF 1.5210 1.4607 1.4757 1.4957 1.5123
  1. The lowest BIC value is the best fitting model, as highlighted in bold