Author(s): Dong Xu (Author), James M Keller (Editor), Mihail Popescu (Editor), Rajkumar Bondugula (Editor)
Publisher: Icp
Publication Date: August 11, 2008
Language: English
Print length: 246 pages
ISBN-10: B00LWZZL60
Book Description
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 predictionalysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.
Author(s): Dong Xu (Author), James M Keller (Editor), Mihail Popescu (Editor), Rajkumar Bondugula (Editor)
Publisher: Icp
Publication Date: August 11, 2008
Language: English
Print length: 246 pages
ISBN-10: B00LWZZL60
Book Description
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 predictionalysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.
Author(s): Dong Xu (Author), James M Keller (Editor), Mihail Popescu (Editor), Rajkumar Bondugula (Editor)
Publisher: Icp
Publication Date: August 11, 2008
Language: English
Print length: 246 pages
ISBN-10: B00LWZZL60
Book Description
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 predictionalysis, and microarray data analysis. It also reviews other bioinformatics applications using fuzzy techniques.
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