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Statistical bioinformatics with R

By: Material type: TextTextPublication details: Amsterdam ; Boston Academic Press/Elsevier 2010Description: xvi, 319 pages, [8] pages of plates : illustrations (some color) ; 25 cmISBN:
  • 9780123751041
Subject(s): 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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Item type Current library Home library Call number Status Date due Barcode
Book 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

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.

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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