By Dong Xu, James M Keller, Mihail Popescu, Rajkumar Bondugula
Many organic structures and gadgets are intrinsically fuzzy as their houses and behaviors include randomness or uncertainty. additionally, it has been proven that individual or optimum equipment have major quandary in many bioinformatics difficulties. Fuzzy set thought and fuzzy good judgment are excellent to describe a few organic systems/objects and supply strong instruments for a few bioinformatics difficulties. This booklet comprehensively addresses numerous vital bioinformatics issues utilizing fuzzy innovations and methods, together with dimension of ontological similarity, protein constitution prediction/analysis, and microarray facts research. It additionally reports different bioinformatics purposes utilizing fuzzy recommendations.
Contents: advent to Bioinformatics; advent to Fuzzy Set thought and Fuzzy good judgment; Fuzzy Similarities in Ontologies; Fuzzy good judgment in Structural Bioinformatics; program of Fuzzy good judgment in Microarray information Analyses; different purposes; precis and Outlook.
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Additional resources for Applications of fuzzy logic in bioinformatics
1994]. 5 Scoring performance on tests of standing balance Score 0 1 2 3 4 Side by side stand t< 10 sec. t=10 sec. t=10 sec. t=10 sec. t=10 sec. Semi-tandem stand Not attempted t< 10 sec. t=10 sec. t=10 sec. t=10 sec. Full tandem stand Not attempted Not attempted t< 3 sec. <=t<10sec. t=10 sec. , 2006], rules and the membership functions for the linguistic values were constructed manually with input from nurses. The set of fuzzy rules for Standing Test performance is: 1. IF (Side-by-Side_Stand_Time is SHORT) THEN (Standing_Test_Performance is VERY_POOR) 2.
There are Chapter 2: Introduction to Fuzzy Set Theory and Fuzzy Logic 23 national, multi-national, and international fuzzy systems professional societies around the globe whose purposes are to foster research, development and application of fuzzy set theory and fuzzy logic. Fuzzy systems are one of the core pillars of the IEEE Computational Intelligence Society. An introduction to the key components of fuzzy set theory and fuzzy logic is now given with the view toward computational methods of use in bioinformatics.
One gene may be involved in different functions or pathways. Beta-catenin is a multifunction protein, playing important roles in both cell-cell adhesion and intracellular signaling. , microarray gene expression data), fuzzy memberships for a gene may be useful to serve as descriptors for that gene in the context of fuzzy clustering with a large set of genes. In this case, one gene can be present in two or more clusters simultaneously, with partial or full membership in each cluster. Another type of fuzziness in biomedical research results from the fuzzy description of biological terms.
Applications of fuzzy logic in bioinformatics by Dong Xu, James M Keller, Mihail Popescu, Rajkumar Bondugula