Microarray data analysis : methods and applications / edited by Michael J. Korenberg.

Format:

Book

Contributor:

Korenberg, Michael J.

Series:

Methods in molecular biology (Clifton, N.J.) ; v. 377.

Methods in molecular biology, 1064-3745 ; 377

Language:

English

Subjects (All):

DNA microarrays.

Gene expression.

Microarray Analysis--methods.

Gene Expression Profiling.

Medical Subjects:

Microarray Analysis--methods.

Gene Expression Profiling.

Physical Description:

xiii, 273 pages : illustrations (some color) ; 24 cm.

Place of Publication:

Totowa, N.J. : Humana Press, [2007]

Summary:

In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. This innovative book includes in-depth presentations of genomic signal processing, artificial neural network use for microarray data analysis, signal processing and design of microarray time series experiments, application of regression methods, gene expression profiles and prognostic markers for primary breast cancer, and factors affecting the cross-correlation of gene expression profiles. Also detailed are use of tiling arrays for large genome analysis, comparative genomic hybridization data on cDNA microarrays, integrated high-resolution genome-wide analysis of gene dosage and gene expression in human brain tumors, gene and MeSH ontology, and survival prediction in follicular lymphoma using tissue microarrays. The protocols follow the successful Methods in Molecular Biology[Trademark] series format, offering step-by-step instructions, an introduction outlining the principles behind the technique, lists of the necessary equipment and reagents, and tips on troubleshooting and avoiding pitfalls.

Features: Information on an array of topics including genomic signal processing, matrix algebra and genetic networks, predictive models of gene regulation, comparing microarray studies, identifying progression-associated genes in astrocytoma, analysis of comparative genomic hybridization data on cDNA microarrays, statistical framework for gene expression analysis, and interpretation of microarray results with gene ontology and MeSH ontology. Use classic, novel, and state-of-the-art methods in a readily reproducible format, Master tricks of the trade, troubleshoot, and avoid known pitfalls.

Contents:

Microarray data analysis: an overview of design, methodology, and analysis / Ashani T. Weeraratna and Dennis D. Taub

Genomic Signal processing: from matrix algebra to genetic networks / Orly Alter

Online analysis of microarray data using artificial neural networks / Braden Greer and Javed Khan

Signal processing and the design of microarray time-series experiments / Robert R. Klevecz, Caroline M. Li, and James L. Bolen

Predictive models of gene regulation: application of regression methods to microarray data / Debopriya Das and Michael Q. Zhang

Statistical framework for gene expression data analysis / Olga Modlich and Marc Munnes

Gene expression profiles and prognostic markers for primary breast cancer / Yixin Wang ... [et al.]

Comparing microarray studies / Mayte Suárez-Fariñas and Marcelo O. Magnasco

A pitfall in series of microarrays: the position of probes affects the cross-correlation of gene expression profiles / Gábor Balázsi and Zoltán N. Oltvai

In-depth queryof large genomes using tiling arrays / Manoj Pratim Samanta, Waraporn Tongprasit, and Viktor Stolc

Analysis of comparative genomic hybridization data on cDNA microarrays / Sven Bilke and Javed Khan

Integrated high-resolution genome-wide analysis of gene dosage and gene expression in human brain tumors / Dejan Juric ... [et al.]

Progression-associated genes in astrocytoma identified by novel microarray gene expression data reanalysis / Tobey J. MacDonald ... [et al.]

Interpreting microarray results with gene ontology and MeSH / John D. Osborne ... [et al.]

Incorporation of gene ontology annotations to enhance microarray data analysis / Michael F. Ochs ... [et al.]

Predicting survival in follicular lymphoma using tissue microarrays / Michael J. Korenberg, Pedro Farinha, and Randy D. Gascoyne.

Notes:

Includes bibliographical references and index.

ISBN:

9781588295408

1588295400

9781597453905

1597453900

OCLC:

76416554