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STATISTICAL BIOINFORMATICS
Statistical Bioinformatics
with R
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By
Sunil Mathur, Director, Statistical Computing and Consulting Center University of Mississippi, Oxford, USA

Description
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 and 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.

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


Bibliographic details
Hardbound, 336 pages, publication date: JAN-2010
ISBN-13: 978-0-12-375104-1
Imprint: ACADEMIC PRESS

Price and Ordering
Price:
USD 69.95
EUR 50.95
GBP 42.99
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Last update: 26 Oct 2009
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