Analysis Of Biological Data: A Soft Computing Approach

Автор: Bandyopadhyay Sanghamitra

Език:

Корици: С твърди корици

Издател: World Scientific Publishing Co Pte Ltd

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Bioinformatics, a field devoted to the interpretation and analysis of biological data using computat...

Информация за книгата

Автор

Bandyopadhyay Sanghamitra

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2007

страници

352

EAN

9789812707802

ISBN

9812707808

Enbook ID

05068803

Издател

World Scientific Publishing Co Pte Ltd

Теглоt

634

Размери

162 x 235 x 23

Пълно описание

Bioinformatics, a field devoted to the interpretation and analysis of biological data using computational techniques, has evolved tremendously in recent years due to the explosive growth of biological information generated by the scientific community. Soft computing is a consortium of methodologies that work synergistically and provides, in one form or another, flexible information processing capabilities for handling real-life ambiguous situations. Several research articles dealing with the application of soft computing tools to bioinformatics have been published in the recent past; however, they are scattered in different journals, conference proceedings and technical reports, thus causing inconvenience to readers, students and researchers. This book, unique in its nature, is aimed at providing a treatise in a unified framework, with both theoretical and experimental results, describing the basic principles of soft computing and demonstrating the various ways in which they can be used for analyzing biological data in an efficient manner. Interesting research articles from eminent scientists around the world are brought together in a systematic way such that the reader will be able to understand the issues and challenges in this domain, the existing ways of tackling them, recent trends, and future directions. This book is the first of its kind to bring together two important research areas, soft computing and bioinformatics, in order to demonstrate how the tools and techniques in the former can be used for efficiently solving several problems in the latter.

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Analysis Of Biological Data: A Soft Computing Approach

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