Statistical bioinformatics with R

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.

Bibliographic Details
Main Author: Sunil K Mathur
Format: Printed Book
Published: Amsterdam ; Boston Academic Press/Elsevier 2010
Subjects:
Bioinformatics > Statistical methods. R (Computer program language)
LEADER 01328nam a2200169Ia 4500
999 |c 28281  |d 28281 
020 |a 9780123751041 
082 |a 570.2855133 MAT-S 
100 |a Sunil K Mathur 
245 |a Statistical bioinformatics with R 
260 |a Amsterdam ; Boston  |b  Academic Press/Elsevier  |c 2010 
300 |a  xvi, 319 pages, [8] pages of plates : illustrations (some color) ; 25 cm 
505 |a  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. 
520 |a 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.  
650 |a  Bioinformatics -- Statistical methods. R (Computer program language) 
942 |c BK 
952 |0 0  |1 0  |4 0  |6 570_285513300000000_MATS  |7 0  |9 30944  |a DCB  |b DCB  |d 2015-09-01  |l 0  |o 570.2855133 MAT-S  |p DCB1735  |r 2015-09-01  |w 2019-07-19  |y BK 

Similar Items