Statistical bioinformatics [ a guide for life and biomedical science researchers

This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in b...

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Bibliographic Details
Main Author: Lee, Jae K. [ (Jae Kyun)] (Author)
Corporate Author: Wiley InterScience (Online service)
Format: Electronic Book
Language:English
Published: Hoboken, New Jersey : Wiley-Blackwell , c2010
Subjects:
Online Access:Wiley Online Library

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245 0 0 |a Statistical bioinformatics [  |h [electronic resource]] :   |b a guide for life and biomedical science researchers   |c edited by Jae K. Lee 
260 |a Hoboken, New Jersey :   |b Wiley-Blackwell ,   |c c2010 
300 |a 1 online resource (xiv, 350 p., [20] p. of plates :   |b ill. (some col.) 
504 |a Includes bibliographical references and index 
505 0 |a 1. Road to statistical bioinformatics -- 2. Probability concepts and distributions for analyzing large biological data -- 3. Quality control of high-throughput biological data -- 4. Statistical testing and significance for large biological data analysis -- 5. Clustering : unsupervised learning in large biological data -- 6. Classification : supervised learning with high-dimensional biological data -- 7. Multidimensional analysis and visualization on large biological data -- 8. Statistical models, inference, and algorithms for large biological data analysis -- 9. Experimental designs on high-throughput biological experiments -- 10. Statistical resampling techniques for large biological data analysis -- 11. Statistical network analysis for biological systems and pathways -- 12. Trends and statistical challenges in genomewide association studies -- 13. R and bioconductor packages in bioinformatics : towards systems biology 
520 |a This book provides an essential understanding of statistical concepts necessary for the analysis of genomic and proteomic data using computational techniques. The author presents both basic and advanced topics, focusing on those that are relevant to the computational analysis of large data sets in biology 
650 0 |a Bioinformatics   |x Statistical methods 
650 2 |a Computational Biology   |x methods 
650 2 2 |a Biostatistics   |x methods 
700 1 |a Lee, Jae K. [  |q (Jae Kyun)] ,   |e author 
710 2 |a Wiley InterScience (Online service) 
856 4 0 |3 Wiley Online Library   |u http://onlinelibrary.wiley.com/book/10.1002/9780470567647 
999 |a 1000138756   |b Electronic Resource   |c OPEN SHELF (30 DAYS)   |e Gong Badak Campus