a guide for life and biomedical science researchers /
edited by Jae K. Lee
Hoboken, N.J. :
Wiley-Blackwell,
c2010
xiv, 350 p., [20] p. of plates :
ill. (some col.) ;
24 cm
Includes bibliographical references and index
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