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Statistical Bioinformatics with R
- 1st Edition - December 21, 2009
- Author: Sunil K. Mathur
- Language: English
- Hardback ISBN:9 7 8 - 0 - 1 2 - 3 7 5 1 0 4 - 1
- Paperback ISBN:9 7 8 - 0 - 1 2 - 8 1 0 1 8 6 - 5
- eBook ISBN:9 7 8 - 0 - 1 2 - 3 7 5 1 0 5 - 8
Statistical Bioinformatics provides a balanced treatment of statistical theory in the context of bioinformatics applications. Designed for a one or two semester senior undergrad… Read more
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Request a sales quoteStatistical 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
Senior undergraduate and graduate level students taking a one or two semester course in bioinformatics
- No. of pages: 336
- Language: English
- Edition: 1
- Published: December 21, 2009
- Imprint: Academic Press
- Hardback ISBN: 9780123751041
- Paperback ISBN: 9780128101865
- eBook ISBN: 9780123751058
SM
Sunil K. Mathur
Affiliations and expertise
Director, Statistical Computing and Consulting CenterUniversity of Mississippi, Oxford, USA