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Figure 1 | BMC Bioinformatics

Figure 1

From: Discriminative topological features reveal biological network mechanisms

Figure 1

C. elegans : kernel density estimation for the word nnz D(AU AD AT AU A). Data for two different models are shown: the Middendorf-Ziv [14] model and the Grindrod [17] model. C. elegans is robustly classified as a Middendorf-Ziv network. The Grindrod model is the runner-up. We here show data for a word that especially disfavors the Middendorf-Ziv model over the Grindrod model. The histograms of the word over the training data are shown along with their associated densities calculated from the data by Gaussian kernel density estimation. The densities give the following log-p-values at the word value for the C. elegans network: log(p MZ ) = -376, log(p Grindrod ) = -6.23.

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