Methods in Microarray Normalization
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Methods in Microarray Normalization: (Drug Discovery Series)

Methods in Microarray Normalization: (Drug Discovery Series)


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About the Book

This organized text compiles, for the first time, the most useful normalization methods developed for interpreting microarray data. Experts examine 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. The book contains the latest microarray innovations from companies such as Agilent, Affymetrix, and GeneGo as well as new, readily adaptable normalization methods for expression and CGH arrays. It also lists of open-source molecular profiling normalization algorithms available and where to access them.

Table of Contents:
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.

Review :
"Methods in Microarray Normalization compiles the most useful and novel techniques for the first time into a single, organized source. Experts in the field provide a diverse view of the mathematical processes that are important in normalizing data and avoiding inherent systematic biases." – In Anticancer Research, July/August 2008, Vol. 28, No. 4A


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Product Details
  • ISBN-13: 9781040206522
  • Publisher: Taylor & Francis Ltd
  • Binding: Digital (delivered electronically)
  • Series Title: Drug Discovery Series
  • ISBN-10: 1040206522
  • Publisher Date: 31 Jan 2008
  • Language: English


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