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Optimal High-Throughput Screening: Practical Experimental Design And Data Analysis For Genome-Scale Rnai Research at Meripustak

Optimal High-Throughput Screening: Practical Experimental Design And Data Analysis For Genome-Scale Rnai Research by Xiaohua Douglas Zhang, Cambridge University Press

Books from same Author: Xiaohua Douglas Zhang

Books from same Publisher: Cambridge University Press

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  • General Information  
    Author(s)Xiaohua Douglas Zhang
    PublisherCambridge University Press
    ISBN9780521734448
    Pages224
    BindingPaperback
    LanguageEnglish
    Publish YearFebruary 2011

    Description

    Cambridge University Press Optimal High-Throughput Screening: Practical Experimental Design And Data Analysis For Genome-Scale Rnai Research by Xiaohua Douglas Zhang

    This Concise Self-Contained And Cohesive Book Focuses On Commonly Used And Recently Developed Methods For Designing And Analyzing High-Throughput Screening (Hts) Experiments From A Statistically Sound Basis. Combining Ideas From Biology Computing And Statistics The Author Explains Experimental Designs And Analytic Methods That Are Amenable To Rigorous Analysis And Interpretation Of Rnai Hts Experiments. The Opening Chapters Are Carefully Presented To Be Accessible Both To Biologists With Training Only In Basic Statistics And To Computational Scientists And Statisticians With Basic Biological Knowledge. Biologists Will See How New Experiment Designs And Rudimentary Data-Handling Strategies For Rnai Hts Experiments Can Improve Their Results Whereas Analysts Will Learn How To Apply Recently Developed Statistical Methods To Interpret Hts Experiments.Show More



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