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Can I read Computational Intelligence and Pattern Analysis in Biology Informatics (Wiley Series in Bioinformatics) on EtoBox?

Computational Intelligence and Pattern Analysis in Biology Informatics (Wiley Series in Bioinformatics) by [edited by] Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. Wang is a nonfiction available to read on EtoBox.

What is Computational Intelligence and Pattern Analysis in Biology Informatics (Wiley Series in Bioinformatics) about?

An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic principles of computational intelligence and pattern analysis while deepening the reader's understanding of the ways in which these principles can be used for analyzing biological data in an efficient manner. This book synthesizes current research in the integration of computational intelligence and pattern analysis techniques, either individually or in a hybridized manner. The purpose is to analyze biological data and enable extraction of more meaningful information and insight from it. Biological data for analysis include sequence data, secondary and tertiary structure data, and microarray data. These data types are complex and advanced methods are required, including the use of domain-specific knowledge for reducing search space, dealing with uncertainty, partial truth and imprecision, efficient linear and/or sub-linear scalability, incremental approaches to knowledge discovery, and increased level and intelligence of interactivity with human experts and decision makers Chapters authored by leading researchers in CI in biology informatics. Covers highl

Who reads Computational Intelligence and Pattern Analysis in Biology Informatics (Wiley Series in Bioinformatics)?

It is typically read by self-directed learners exploring a subject in depth.

Common subject areas: history, science, philosophy, social sciences.

Author
[edited by] Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T. Wang
Publisher
John Wiley & Sons, Incorporated
Published
2010
Language
EN
ISBN
9786612728914
Category
nonfiction
Subjects
Science, Medical, Biology

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