Statistical bioinformatics a guide for life and biomedical science researchers

Statistical bioinformatics : a guide for life and biomedical science researchers / edited by Jae K. Lee.

Other author/creator	Lee, Jae K. (Jae Kyun)
Format	Electronic and Book
Publication Info	Hoboken, N.J. : Wiley-Blackwell,
Description	xiv, 350 p., [20] p. of plates : ill. (some col.) ; 24 cm.
Supplemental Content	Full text available from Ebook Central - Academic Complete
Subject(s)	Bioinformatics--Statistical methods. Computational Biology--methods. Biostatistics--methods.

Contents	Road to statistical bioinformatics -- Probability concepts and distributions for analyzing large biological data -- Quality control of high-throughput biological data -- Statistical testing and significance for large biological data analysis -- Clustering : unsupervised learning in large biological data -- Classification : supervised learning with high-dimensional biological data -- Multidimensional analysis and visualization on large biological data -- Statistical models, inference, and algorithms for large biological data analysis -- Experimental designs on high-throughput biological experiments -- Statistical resampling techniques for large biological data analysis -- Statistical network analysis for biological systems and pathways -- Trends and statistical challenges in genomewide association studies -- R and bioconductor packages in bioinformatics : towards systems biology.
Bibliography note	Includes bibliographical references and index.
Access restriction	Available only to authorized users.
Technical details	Mode of access: World Wide Web
Genre/form	Electronic books.
LCCN	2009024890
ISBN	9780471692720 (cloth)
ISBN	0471692727 (cloth)

Library	Location	Call Number	Status	Item Actions
	Electronic Resources	Access Content Online	✔ Available