Raed Ibraheem Hamed, Twana Latif Mohammed*
University of Human Development, Iraq
Title: Mathematical modeling and simulation method of genes networks by using fuzzy neural approach
Biography
Biography: Raed Ibraheem Hamed, Twana Latif Mohammed*
Abstract
The field that develops methods and software tools for understanding biological data is called bioinformatics. The information that characterize the framework's elements should be known keeping in mind this information is frequently robust or even difficult to biological systems.
Here, we exhibit a model of quantitative fuzzy rationale demonstrating approach that can adapt to obscure motor information and hence deliver applicable results despite the fact that dynamic information is fragmented or just dubiously characterized. Fuzzy Petri Nets (FPNs) gives a graphically and scientific system that is good with ineffectively quantitative yet subjectively huge information.
All of Genes Regulatory Networks (GRNs) quests depend on fresh and parametric qualities, in spite of innate Fuzzy nature of quality expression. In the proposed display, a quality expression profile is initially changed into a mapping structure and afterward the changed information is mapped into the fuzzy framework. The models of FPN are characterized in view of creating tenets of information base and the semantics depiction of valid principles are displayed.
Since the relations are spoken to by fuzzy method, the invented strategy is powerful to uproarious and questionable data. FPN to speak to the dynamic information on the base of learning representation with self-learning capacity.