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Fig. 2 | BMC Bioinformatics

Fig. 2

From: CSN: unsupervised approach for inferring biological networks based on the genome alone

Fig. 2

CSN Basic Properties. a The Common Substring Network of S. cerevisiae. This network represents 5972 genes and 237,237 edges. b The distribution of node degrees. Dot plot describing the distribution of nodes’ degrees in a log-log scale for the CSN’s nodes (blue) and the ppCSN’s nodes (orange). The dashed line represents the regression lines between node degree and number of times it appears in the graph. [Pearson: CSN rho = − 0.167 p = 8.78*10− 5, ppCSN rho = − 0.129 p = 1.05*10− 3; Spearman: CSN rho = − 0.838, p = 2.90*10− 145, ppCSN rho = − 0.759 p = 1.97*10− 121] c Spearman correlation between node degree and PA. Dot plot describing the linear regression relationship between gene degrees and their PA for CSN (blue) and the ppCSN (orange). [Spearman: CSN rho = 0.177; p = 1.02*10− 42, ppCSN rho = 0.088; p = 1.59*10− 11; Pearson: CSN rho = 0.219; p = 1.51*10− 64, ppCSN rho = − 0.027; p = 4.08*10− 2] d Comparison of PA and degree correlation. Between CSN (blue), ppCSN (orange), and other biological networks (see the supplementary section, Reference networks, yellow) PA and degree correlation

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