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. 2011 Jun 14;27(13):i366–i373. doi: 10.1093/bioinformatics/btr228

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© The Author(s) 2011. Published by Oxford University Press.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 3. — Modelling regulatory interactions using PNFL. Shown is a KEGG style representation of an activation and its transformation into a PNFL transition f+. Tokens of combined fuzzy measures de of differential expression assigned to Petri net (PN) places, represent the regulator and its target. The regulatory effect is defined via a specific fuzzy rule for every effect type of the GRN.