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Statistical Bioinformatics With R By Sunil K. Mathur
595.00 EGP

Statistical Bioinformatics With R By Sunil K. Mathur

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595.00 EGP 

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Category Type
Statistics, Research & Compute
ISBN
9780123751041
Author
Sunil K. Mathur
Publisher
Academic Press
Description:

  • Book Name: Statistical Bioinformatics With R
  • Author: Sunil K. Mathur
  • ISBN: 9780123751041
  • Publisher:Academic Press
  • Description: Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications. Designed for a one or two semester senior undergraduate or graduate bioinformatics course, the text takes a broad view of the subject - ...

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PRODUCT INFORMATION

  •  

    Specifications

    Category Type
    Statistics, Research & Compute
    ISBN
    9780123751041
    EAN-13
    9780123751041
    Item EAN
    2724592707823
    People
    Author
    Sunil K. Mathur
    Category Type
    Statistics, Research & Compute
    ISBN
    9780123751041
    EAN-13
    9780123751041
    Item EAN
    2724592707823
    People
    Author
    Sunil K. Mathur
    People
    Publisher
    Academic Press
    Technical Information
    Binding
    Paperback
    Languages and countries
    Book Language
    English
    Read more
  •  

    Description:

    • Book Name: Statistical Bioinformatics With R
    • Author: Sunil K. Mathur
    • ISBN: 9780123751041
    • Publisher:Academic Press
    • Description: Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications. Designed for a one or two semester senior
    • Book Name: Statistical Bioinformatics With R
    • Author: Sunil K. Mathur
    • ISBN: 9780123751041
    • Publisher:Academic Press
    • Description: Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications. Designed for a one or two semester senior undergraduate or graduate bioinformatics course, the text takes a broad view of the subject - not just gene expression and sequence analysis, but a careful balance of statistical theory in the context of bioinformatics applications. The inclusion of R & SAS code as well as the development of advanced methodology such as Bayesian and Markov models provides students with the important foundation needed to conduct bioinformatics.
 

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