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Fig. 2 | Journal of Translational Medicine

Fig. 2

From: Identification of potential biomarkers to differentially diagnose solid pseudopapillary tumors and pancreatic malignancies via a gene regulatory network

Fig. 2

Power-law model fitness to select correlation coefficient thresholds for construction of a GRN in SPN based on the candidate network. The cut-off refers to the absolute value of the correlation coefficient ranging from 0 to 1. The first row represents the sub-GRN where only miRNAs are regulators. The second row represents sub-GRN where only TFs are regulators. a, e Plot the results of power law fitting of in-degrees for different cut-off values. The larger R2 value, the better power-law fitness. b, f Number of targets for different cut-off values. c, g Represent the power-law model of out-degree. d, h Number of regulators for different cut-off values

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