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Figure 4 | BMC Systems Biology

Figure 4

From: cGRNB: a web server for building combinatorial gene regulatory networks through integrated engineering of seed-matching sequence information and gene expression datasets

Figure 4

Overview of the workflow inside Mod_MPGE. Relying on three inputs (miR2gene, TF2gene, and an MPGE dataset), Mod_MPGE performs a one-sided Kolmogorov-Smirnov (K-S) test to evaluate the significance of miRNA degradating ability in human cells, a non-parametric statistical test to refine miRNA's degraded targets from forward-predicted putative targets, a pre-filtering uni-variate linear regression model to cut down the regulator numbers and an ultimate multi-variate stepwise linear regression model to determine miRNA's downstream TF mediators. Taking the sifted miRNA→gene and TF→gene regulations together, a hypothetical two-layer regulatory network centered on the perturbed miRNA and its downstream mediating TFs is mapped. In the formulae, E g stands for the mRNA level of a target gene g; b m,g and b TFi,g , with values zero or one, encode the putative regulatory relationships between g and miRNA m, and g and TF i , respectively; a m and a TFi quantifies the purturbed miRNA's and a TF's regulating coefficients (regulatory strength), which are to be determined through the linear regression modelling.

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BMC Systems Biology

ISSN: 1752-0509

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