Fr. 170.00

Methods in Microarray Normalization

English · Hardback

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Informationen zum Autor Phillip Stafford Klappentext Molecular profiling microarrays show what genes are present in a particular cell type! at a particular time! under particular conditions. Etched onto a microchip! these "profiles" allow researchers to compare healthy cells with their diseased counterparts and develop gene-specific treatments. This book describes all types of normalization techniques for expression data and their impact on a variety of molecular profiling technologies for both clinical and research applications. Many of the techniques are so new! this is the first publication to compile and analyze them in a single source. Topics include new normalization methods for protein! SNP! and CGH arrays! many of which are applicable for antibody! microRNA! methylation! and siRNA arrays. Several examples of these methods either currently exist or are forthcoming as part of commercial software products! but many are freeware. Zusammenfassung Compiles useful normalization methods developed for interpreting microarray data. This book examines the mathematical processes that are important in normalizing data and avoiding inherent systematic biases. They also review modern software, including discussions on key algorithms, comparative data, and download locations. Inhaltsverzeichnis A comprehensive analysis of the effect of microarray data preprocessing methods on differentially expressed transcript selection. Differentiation detection in microarray normalization. Preprocessing and normalization for affymetrix genechip expression microarrays. Spatial detrending and normalization methods for two-channel DNA and protein microarray data. A survey of cDNA microarray normalization and a comparison by k -NN classification. Technical variation in modeling the joint expression of several genes. Biological interpretation for microarray normalization selection. Methodology of functional analysis for omics data normalization. Exon array analysis for the detection of alternative splicing. Normalization of array CGH data. SNP array-based analysis for detection of chromosomal aberrations and copy number variations. Index. ...

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