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Contents
Statistical Bioinformatics
This book 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. It integrates biological, statistical and computational concepts and deals with the inclusion of R & SAS code.
Introduction
Genomics
Probability and Statistical Theory
Special Distributions, Properties and Applications
Statistical Inference and Applications
Nonparametric Statistics
Bayesian Statistics
Markov Chain, Monte Carlo
Analysis of Variance
Design of Experiments
Multiple Testing of Hypotheses
Specifications
Genomics
Probability and Statistical Theory
Special Distributions, Properties and Applications
Statistical Inference and Applications
Nonparametric Statistics
Bayesian Statistics
Markov Chain, Monte Carlo
Analysis of Variance
Design of Experiments
Multiple Testing of Hypotheses
| Pm Supplier | Elsevier Books Ltd *** |
|---|---|
| Pm Publisher | Academic Press |
| Pm Isbn 10 | 0123751047 |
| Pm Isbn 13 | 9780123751041 |
| Pm Publication Date | 2010-02-22 |
| Pm Width | 191 |
| Pm Author | Mathur, Sunil K |
| Pm Height | 21 |
| Pm Longness | 235 |
- Author: Mathur, Sunil K
- Page Count: 336
Statistical Bioinformatics
£47.99
£47.99
ex. VAT
ex. VAT
SKU: 185315
- Author: Mathur, Sunil K
- Page Count: 336
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