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Figure 5 | BMC Bioinformatics

Figure 5

From: Bayesian hierarchical clustering for microarray time series data with replicates and outlier measurements

Figure 5

Effect of a mixture model likelihood on noisy gene classification. Using a mixture model likelihood allows BHC to model certain time points as outlier measurements for the genes shown, and assign the noisy gene to a cluster which is more coherent in its expression profiles and biological function. Outlier time points are time point 11 for FSP2, time point 2 for CMS3 and time point 4 for WcaC. The examples shown use BHC-SE for S. cerevisiae 1 and BHC-C for S. cerevisiae 2 and E.coli.

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