http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Analysis of microarray gene expression data
xvi, 371 pages : illustrations (some color) ; 25 cm.
Genome probing using microarrays -- Introduction -- DNA, RNA, proteins, and gene expression -- Microarray technology -- Inherent variability in array data -- Background noise -- Transformation and normalization -- Missing values in array data saturated intensity readings -- Statistical models and analysis -- Experimental design -- Anova models for microarray data -- Multiple testing in microarray studies -- Permutation tests in microarray data -- Bayesian methods for microarray data -- Power and sample size considerations -- Unsupervised exploratory analysis -- Cluster analysis -- Principal components and singular value decomposition -- Self-organizing maps -- Supervised learning methods -- Discrimination and classification -- Artificial neural networks -- Support vector machines
Includes bibliographical references (pages [351]-365) and indexes.