Statistical Bioinformatics with R
Mathur, Sunil K.
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
Bioinformatics, General, General, Applied, Mathematics & Statistics -> Mathematics -> Mathematics General, Professional, Career & Trade -> Computer Science -> Special Topics, Professional, Career & Trade -> Computer Science -> General, Mathematics & Statistics -> Mathematics -> Probability
Name in long format: | Statistical Bioinformatics with R |
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ISBN-10: | 0123751047 |
ISBN-13: | 9780123751041 |
Book pages: | 336 |
Book language: | en |
Edition: | 1 |
Binding: | Hardcover |
Publisher: | Academic Press |
Dimensions: | Height: 9.3 Inches, Length: 7.4 Inches, Weight: 2.0062065842 Pounds, Width: 0.9 Inches |