
Statistical Bioinformatics with R
Resources
Description
Key Features
- 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
Readership
Table of Contents
1. Introduction
2. Genomics
3. Probability and Statistical Theory
4. Special Distributions, Properties and Applications
5. Statistical Inference and Applications
6. Nonparametric Statistics
7. Bayesian Statistics
8. Markov Chain, Monte Carlo
9. Analysis of Variance
10. Design of Experiments
11. Multiple Testing of Hypotheses
Product details
- No. of pages: 336
- Language: English
- Copyright: © Academic Press 2010
- Published: December 21, 2009
- Imprint: Academic Press
- eBook ISBN: 9780123751058
- Hardcover ISBN: 9780123751041
About the Author
Sunil Mathur
Affiliations and Expertise
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