Statistical Bioinformatics: with R


by
Sunil K. Mathur

Book Details

Format: EPUB

Page count: 336 pages

File size: 3.3 MB

Protection: DRM

Language: English

Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics 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  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.

Ancillary list: * Online ISM- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041 * Companion Website w/ R code and Ebook- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041 * Powerpoint slides- http://textbooks.elsevier.com/web/Manuals.aspx?isbn=9780123751041

  • 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

Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics 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  code as well as the development of advanced methodology such as Bayesian and Markov models provides students with the important foundation needed to conduct… (more)

Designed for a one or two semester senior undergraduate or graduate bioinformatics course, Statistical Bioinformatics 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  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.

Ancillary list: * Online ISM- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041 * Companion Website w/ R code and Ebook- http://textbooks.elsevier.com/web/manuals.aspx?isbn=9780123751041 * Powerpoint slides- http://textbooks.elsevier.com/web/Manuals.aspx?isbn=9780123751041

  • 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

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