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

Other author Lee, Jae K. (Jae Kyun)
Format Electronic
Publication InfoHoboken, N.J. : Wiley-Blackwell,
Descriptionxiv, 350 p., [20] p. of plates : ill. (some col.) ; 24 cm.
Supplemental ContentFull text available from Ebook Central - Academic Complete
Subjects
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 noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2009024890
ISBN9780471692720 (cloth)
ISBN0471692727 (cloth)

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