APPLN OF FUZZY LOGIC IN BIOINFO…(V9)

$25.00

Many 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. APPLN OF FUZZY LOGIC IN BIOINFO...(V9) is written by Xu Dong; Keller James M; Bondugula Rajkumar and published by ICP. ISBNs for APPLN OF FUZZY LOGIC IN BIOINFO...(V9) are 9781848162594, 1848162596 and the print ISBNs are 9781848162587, 1848162588.

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Many 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.
APPLN OF FUZZY LOGIC IN BIOINFO…(V9) is written by Xu Dong; Keller James M; Bondugula Rajkumar and published by ICP. ISBNs for APPLN OF FUZZY LOGIC IN BIOINFO…(V9) are 9781848162594, 1848162596 and the print ISBNs are 9781848162587, 1848162588.