Computational Intelligence and Pattern Analysis in Biology Informatics

Book Description

An invaluable tool in Bioinformatics, this unique volume provides both theoretical and experimental results, and describes basic of computational intelligence and pattern 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 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 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 informatics.
  • Covers highly relevant topics: rational drug design; analysis of microRNAs and their involvement in human diseases.
  • Supplementary material included: program and relevant data sets correspond to chapters.

Book Details

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