Statistical bioinformatics with R

By:

Sunil K Mathur

Material type: Text

TextPublication details: Amsterdam ; Boston Academic Press/Elsevier 2010Description: xvi, 319 pages, [8] pages of plates : illustrations (some color) ; 25 cmISBN:

9780123751041

Subject(s):

Bioinformatics -- Statistical methods. R (Computer program language)

DDC classification:

570.2855133 MAT-S

Contents:

Ch. 1. Introduction -- Ch. 2. Microarrays -- Ch. 3. Probability and Statistical Theory -- Ch. 4. Special Distributions, Properties, and Applications -- Ch. 5. Statistical Inference and Applications -- Ch. 6. Nonparametric Statistics -- Ch. 7. Bayesian Statistics -- Ch. 8. Markov Chain Monte Carlo -- Ch. 9. Analysis of Variance -- Ch. 10. The Design of Experiments -- Ch. 11. Multiple Testing of Hypotheses.

Summary: Provides coverage of complex statistical methods in context with applications in bioinformatics. This book integrates biological, statistical and computational concepts. It includes R & SAS code. It presents Bayesian methods and the modern multiple testing principles.

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Holdings
Item type	Current library	Home library	Call number	Status	Date due	Barcode
Book	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	570.2855133 MAT-S (Browse shelf(Opens below))	Available		DCB1735

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Provides coverage of complex statistical methods in context with applications in bioinformatics. This book integrates biological, statistical and computational concepts. It includes R & SAS code. It presents Bayesian methods and the modern multiple testing principles.

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