Skip to main content
Fig. 8 | BMC Bioinformatics

Fig. 8

From: A new Bayesian piecewise linear regression model for dynamic network reconstruction

Fig. 8

Results for real yeast data with fixed changepoints. We imposed \(K\in \{1,\ldots ,5\}\) changepoints and kept them fixed. K changepoints yield \(H=K+1\) segments. For each K we used the first changepoint to separate the two parts of the time series (galactose vs. glucose metabolism). Successively we located the next changepoint in the middle of the longest segment to divide it into 2 segments, until K changepoints were set. a show the model-specific average total AUC scores with error bars indicating standard deviations. b shows the AUC score differences in favour of the partially coupled model (M3). Here the error bars indicate t-test confidence intervals

Back to article page