Fuzzy reasoning Boolean Petri nets based method for modeling and analysing genetic regulatory networks

Abstract

We have developed a new algorithm for modeling and analyzing generic regulatory networks. This algorithm uses fuzzy Petri net to transform Boolean network into qualitative descriptors that can be evaluated by using a set of fuzzy rules. By recognizing the fundamental links between Boolean network (two-valued) and fuzzy Petri net (multi-valued), effective structural fuzzy rules is achieved through the use of well-established methods of Petri net. For evaluation, the proposed technique has been tested using real bacterium E.Coli which under the nutritional stress response and experimental results shows that the use of fuzzy Petri net based technique in gene expression data analysis can be quite effective. © 2010 Springer-Verlag Berlin Heidelberg.