Computational Intelligence and Pattern Analysis in Biology Informatics
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About this ebook
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 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.
Ujjwal Maulik
Dr. Ujjwal Maulik is a Professor in the Department of Computer Science and Engineering, Jadavpur University, Kolkata, India since 2004. He is co-author of seven books for Springer and Wiley, more than 250 research publications, and Associate Editor of IEEE Transaction on Fuzzy Systems and Information Sciences. His research interests include computational intelligence, bioinformatics, combinatorial optimization, pattern recognition, and data mining.
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