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Figure 4 | BMC Systems Biology

Figure 4

From: The extended TILAR approach: a novel tool for dynamic modeling of the transcription factor network regulating the adaption to in vitro cultivation of murine hepatocytes

Figure 4

Results of the parameter study optimizing the parameter values for the input weight and the auto-regulation weight. Outlined is the ratio of the number of included prior-knowledge relations to the total number of inferred relations excluding the input-to-gene relations (precision). Based on this result and whether or not numerical simulation of the inferred network led to dynamics comparable to the observed ones, the auto-regulation weight was set to 0.75 while the input weight was set to 0.5.

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BMC Systems Biology

ISSN: 1752-0509

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