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Fundamentals Of Data Mining In Genomics And Proteomics at Meripustak

Fundamentals Of Data Mining In Genomics And Proteomics

Books from same Author: Werner Dubitzky

Books from same Publisher: Springer

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    • General Information  
    Author(s)Werner Dubitzky
    PublisherSpringer
    ISBN9780387475080
    Pages281
    BindingHardback
    LanguageEnglish
    Publish YearJanuary 2007

    Description

    Springer Fundamentals Of Data Mining In Genomics And Proteomics by Werner Dubitzky

    This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations._x000D_ _x000D_ to Genomic and Proteomic Data Analysis.- Design Principles for Microarray Investigations.- Pre-Processing DNA Microarray Data.- Pre-Processing Mass Spectrometry Data.- Visualization in Genomics and Proteomics.- Clustering - Class Discovery in the Post-Genomic Era.- Feature Selection and Dimensionality Reduction in Genomics and Proteomics.- Resampling Strategies for Model Assessment and Selection.- Classification of Genomic and Proteomic Data Using Support Vector Machines.- Networks in Cell Biology.- Identifying Important Explanatory Variables for Time-Varying Outcomes.- Text Mining in Genomics and Proteomics._x000D_