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Bioinformatics Using Computational Intelligence Paradigms

Contributor(s): Seiffert, Udo [editor.] | Jain, Lakhmi C [editor.] | Schweizer, Patric [editor.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Studies in Fuzziness and Soft Computing: 176Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.Description: VII, 211 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540323617.Subject(s): Computer science | Biotechnology | Computers | Artificial intelligence | Bioinformatics | Applied mathematics | Engineering mathematics | Computational intelligence | Computer Science | Theory of Computation | Computational Intelligence | Appl.Mathematics/Computational Methods of Engineering | Bioinformatics | Artificial Intelligence (incl. Robotics) | BiotechnologyDDC classification: 004.0151 Online resources: Click here to access online
Contents:
Medical Bioinformatics: Detecting Molecular Diseases with Case-Based Reasoning -- Prototype Based Recognition of Splice Sites -- Contact Based Image Compression in Biomedical High-Throughput Screening Using Artificial Neural Networks -- Discriminative Clustering of Yeast Stress Response -- A Dynamic Model of Gene Regulatory Networks Based on Inertia Principle -- Class Prediction with Microarray Datasets -- Random Voronoi Ensembles for Gene Selection in DNA Microarray Data -- Cancer Classification with Microarray Data Using Support Vector Machines -- Artificial Neural Networks for Reducing the Dimensionality of Gene Expression Data.
In: Springer eBooksSummary: Bioinformatics as well as Computational Intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments. "Bioinformatics using Computational Intelligence Paradigms" contains recent theoretical approaches and guiding applications of biologically inspired information processing systems(Computational Intelligence) against the background of bioinformatics. This carefully edited monograph combines the latest results of Bioinformatics and Computational Intelligence and offers a promising cross-fertilisation and interdisciplinary work between these growing fields.
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E books E books PK Kelkar Library, IIT Kanpur
Available EBK7633
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Medical Bioinformatics: Detecting Molecular Diseases with Case-Based Reasoning -- Prototype Based Recognition of Splice Sites -- Contact Based Image Compression in Biomedical High-Throughput Screening Using Artificial Neural Networks -- Discriminative Clustering of Yeast Stress Response -- A Dynamic Model of Gene Regulatory Networks Based on Inertia Principle -- Class Prediction with Microarray Datasets -- Random Voronoi Ensembles for Gene Selection in DNA Microarray Data -- Cancer Classification with Microarray Data Using Support Vector Machines -- Artificial Neural Networks for Reducing the Dimensionality of Gene Expression Data.

Bioinformatics as well as Computational Intelligence are undoubtedly remarkably fast growing fields of research and real-world applications with enormous potential for current and future developments. "Bioinformatics using Computational Intelligence Paradigms" contains recent theoretical approaches and guiding applications of biologically inspired information processing systems(Computational Intelligence) against the background of bioinformatics. This carefully edited monograph combines the latest results of Bioinformatics and Computational Intelligence and offers a promising cross-fertilisation and interdisciplinary work between these growing fields.

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