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 BiologyTM 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. 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 [and Others] -- 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 [and Others] -- Progression-associated Genes In Astrocytoma Identified By Novel Microarray Gene Expression Data Reanalysis / Tobey J. Macdonald [and Others] -- Interpreting Microarray Results With Gene Ontology And Mesh / John D. Osborne [and Others] -- Incorporation Of Gene Ontology Annotations To Enhance Microarray Data Analysis / Michael F. Ochs [and Others] -- Predicting Survival In Follicular Lymphoma Using Tissue Microarrays / Michael J. Korenberg, Pedro Farinha, And Randy D. Gascoyne. Edited By Michael J. Korenberg. Includes Bibliographical References And Index. "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. Book jacket."--Jacket Front Matter....Pages i-xiii Back Matter....Pages 1-16 ....Pages 17-59
