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Computational Intelligence and Pattern Analysis in Biology Informatics (Electronic book text)
Computational Intelligence and Pattern Analysis in Biology Informatics (Electronic book text): Ujjwal Maulik, Sanghamitra...

Computational Intelligence and Pattern Analysis in Biology Informatics (Electronic book text)

Ujjwal Maulik, Sanghamitra Bandyopadhyay, Jason T Wang

Series: Wiley Series on Bioinformatics: Computational Techniques and

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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 makersChapters authored by leading researchers in CI in biology informatics.Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases.Supplementary material included: program code and relevant data sets correspond to chapters.

General

Imprint: Wiley
Country of origin: United States
Series: Wiley Series on Bioinformatics: Computational Techniques and
Release date: 2010
Authors: Ujjwal Maulik • Sanghamitra Bandyopadhyay • Jason T Wang
Format: Electronic book text
Pages: 395
ISBN-13: 978-1-282-72891-2
Categories: Books > Medicine > Clinical & internal medicine
Books > Science & Mathematics > Science: general issues
Books > Medicine > Clinical & internal medicine > Diseases & disorders
Books > Science & Mathematics > Science: general issues > General
Books > Medicine > Clinical & internal medicine > Diseases & disorders > Immunology
Books > Medicine > Clinical & internal medicine > Diseases & disorders > Immunology > General
LSN: 1-282-72891-1
Barcode: 9781282728912

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