Analysis of Microarray Gene Expression Data

Häftad, Engelska, 2013

AvMei-Ling Ting Lee

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After genomic sequencing, microarray technology has emerged as a widely used platform for genomic studies in the life sciences. With the abundance of data produced from microarray studies, however, the ultimate impact of the studies on biology will depend heavily on data mining and statistical analysis.

Produktinformation

Utgivningsdatum2013-05-31
Mått155 x 235 x 22 mm
Vikt604 g
FormatHäftad
SpråkEngelska
Antal sidor377
FörlagSpringer-Verlag New York Inc.
ISBN9781475788235

Tillhör följande kategorier

Medicinsk genetik inom Medicin
Matematisk statistik inom Naturvetenskap och teknik
Biovetenskap inom Naturvetenskap och teknik
Biokemi inom Naturvetenskap och teknik

DNA, RNA, Protein, and Gene Expression.- Microarray Technology.- Inherent Variability in Microarray Data.- Background Noise.- Transformation and Normalization.- Missing Values in Microarray Data.- Saturated Intensity Readings in Microarray Data.- Experimental Design.- Anova Models for Michrorray Data.- Multiple Testing in Microarray Studies.- Permutation Tests in Microarray Data.- Bayesian Methods for Microarray Data.- Power and Sample Size Considerations at the Planning Stage.- Cluster Analysis.- Principal Components and Singular Value Decomposition.- Self-organizing Maps.- Discrimination and Classification.- Artificial Neural Networks.- Support Vector Machines.

From the reviews: "This book aims to be a comprehensive work on statistical techniques for analysis of microarray data. ... the book contains an elaborate discussion on several variants of useful ANOVA models. ... Standard multiple testing and permutation methods are well illustrated. ... In conclusion, the book is a successful attempt to be a complete reference work for microarray data analysis. It is certainly a rich source of references." (M. A. van de Wiel, Kwantitatieve Methoden, Issue 3, 2006)