## Applications of Fuzzy Logic in BioinformaticsMany biological systems and objects are intrinsically fuzzy as their properties and behaviors contain randomness or uncertainty. In addition, it has been shown that exact or optimal methods have significant limitation in many bioinformatics problems. Fuzzy set theory and fuzzy logic are ideal to describe some biological systems/objects and provide good tools for some bioinformatics problems. This book comprehensively addresses several important bioinformatics topics using fuzzy concepts and approaches, including measurement of ontological similarity, protein structure prediction/analysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques. |

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its an informative. helpful for clarifing fuzzy logic .

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vry simple language used and easy to understand . one really needs it

### Contents

1 Introduction to Bioinformatics | 1 |

2 Introduction to Fuzzy Set Theory and Fuzzy Logic | 16 |

3 Fuzzy Similarities in Ontologies | 73 |

4 Fuzzy Logic in Structural Bioinformatics | 103 |

5 Application of Fuzzy Logic in Microarray Data Analyses | 131 |

6 Other Applications | 160 |

### Other editions - View all

Applications of Fuzzy Logic in Bioinformatics Dong Xu,James M Keller,Mihail Popescu,Rajkumar Bondugula Limited preview - 2008 |

### Common terms and phrases

alignment amino acids analysis annotation set apoptosis applications of fuzzy assigned Bezdek bioinformatics applications bioinformatics problems biological sequences calculated cell Chapter Choquet Choquet integral classification cluster centers clustering algorithm co-clustering computer science concepts contact maps correlation crisp data set database defined DNA sequence Equation example expression profiles feature Figure FKNN fuzzy approaches fuzzy C-means fuzzy clustering fuzzy integral fuzzy logic fuzzy measure fuzzy memberships fuzzy rule fuzzy rule system fuzzy set theory Fuzzy Systems Gene Ontology gene products GO terms Helix IEEE inference input Keller Krishnapuram ligands linguistic matrix membership functions membership values methods microarray microarray data molecular motifs MUPRED nearest neighbor neural networks node optimal outlier output pair-wise parameters patient Popescu protein secondary structure protein sequence protein structure PSSM represented samples secondary structure prediction similarity matrix structure classes subset Sugeno techniques tertiary structure theory and fuzzy training data vector Zadeh