Statistical Bioinformatics with R

Nonfiction, Science & Nature, Mathematics, Applied, Science
Cover of the book Statistical Bioinformatics with R by Sunil K. Mathur, Elsevier Science
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Author: Sunil K. Mathur ISBN: 9780123751058
Publisher: Elsevier Science Publication: December 21, 2009
Imprint: Academic Press Language: English
Author: Sunil K. Mathur
ISBN: 9780123751058
Publisher: Elsevier Science
Publication: December 21, 2009
Imprint: Academic Press
Language: English

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.

  • Integrates biological, statistical and computational concepts
  • Inclusion of R & SAS code
  • Provides coverage of complex statistical methods in context with applications in bioinformatics
  • Exercises and examples aid teaching and learning presented at the right level
  • Bayesian methods and the modern multiple testing principles in one convenient book
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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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