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
- 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
1. Introduction2. Genomics3. Probability and Statistical Theory4. Special Distributions, Properties and Applications5. Statistical Inference and Applications6. Nonparametric Statistics7. Bayesian Statistics8. Markov Chain, Monte Carlo9. Analysis of Variance10. Design of Experiments11. Multiple Testing of Hypotheses
- No. of pages: 336
- Language: English
- Edition: 1
- Published: December 21, 2009
- Imprint: Academic Press
- Hardback ISBN: 9780123751041
- eBook ISBN: 9780123751058
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