Computational Intelligence in Bioinformatics (eBook, PDF)

Redaktion: Kelemen, Arpad; Chen, Yuehui; Abraham, Ajith

• Format: PDF

Produktbeschreibung

Bioinformatics involve the creation and advancement of algorithms using techniques including computational intelligence, applied mathematics and statistics, informatics, and biochemistry to solve biological problems usually on the molecular level. This book deals with the application of computational intelligence in bioinformatics. Addressing the various issues of bioinformatics using different computational intelligence approaches is the novelty of this edited volume.

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Produktdetails

• Verlag: Springer-Verlag GmbH
• Seitenzahl: 326
• Erscheinungstermin: 3. Januar 2008
• Englisch
• ISBN-13: 9783540768036
• Artikelnr.: 44222792

Autorenporträt

Dr. Ajith Abraham is Director of the Machine Intelligence Research (MIR) Labs, a global network of research laboratories with headquarters near Seattle, WA, USA. He is an author/co-author of more than 750 scientific publications. He is founding Chair of the International Conference of Computational Aspects of Social Networks (CASoN), Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (since 2008), and a Distinguished Lecturer of the IEEE Computer Society representing Europe (since 2011).

Inhaltsangabe

Computational Intelligence Algorithms and DNA Microarrays.- Inferring Gene Regulatory Networks from Expression Data.- Belief Networks for Bioinformatics.- Swarm Intelligence Algorithms in Bioinformatics.- Time Course Gene Expression Classification with Time Lagged Recurrent Neural Network.- Tree-Based Algorithms for Protein Classification.- Covariance-Model-Based RNA Gene Finding: Using Dynamic Programming versus Evolutionary Computing.- Fuzzy Classification for Gene Expression Data Analysis.- Towards the Enhancement of Gene Selection Performance.- Saccharomyces pombe and Saccharomyces cerevisiae Gene Regulatory Network Inference Using the Fuzzy Logic Network.- Multivariate Regression Applied to Gene Expression Dynamics.- The Amine System Project: Systems Biology in Practice.- DNA Encoding Methods in the Field of DNA Computing.