Overview
- 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 ingof 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
Part of the book series: Methods in Molecular Biology (MIMB, volume 377)
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Table of contents (16 protocols)
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Front Matter
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Back Matter
Keywords
About this book
In this new volume, renowned authors contribute fascinating, cutting-edge insights into microarray data analysis. Included in this innovative book includes are in-depth looks intopresentations 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 sprofiles 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 genomes analysis using tiling arrays, acomparative 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 predicting survival prediction in follicular lymphoma using tissue microarrays.
The protocols follow the successful Methods in Molecular Biology™ 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.
Editors and Affiliations
Bibliographic Information
Book Title: Microarray Data Analysis
Book Subtitle: Methods and Applications
Editors: Michael J. Korenberg
Series Title: Methods in Molecular Biology
DOI: https://doi.org/10.1007/978-1-59745-390-5
Publisher: Humana Totowa, NJ
eBook Packages: Springer Protocols
Copyright Information: Humana Press 2007
Hardcover ISBN: 978-1-58829-540-8Published: 03 May 2007
Softcover ISBN: 978-1-62703-909-3Published: 31 October 2014
eBook ISBN: 978-1-59745-390-5Published: 03 February 2008
Series ISSN: 1064-3745
Series E-ISSN: 1940-6029
Edition Number: 1
Number of Pages: XIII, 273
Topics: Biochemistry, general, Human Genetics, Bioinformatics