Microarray Data Analysis: Methods and Applications

ISBN-13: 9781588295408 / Angielski / Twarda / 2007 / 288 str.

Michael J. Korenberg

Opis

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.

Spis treści

Table of Contents Chapter 1 Microarray Data Analysis: An Overview of Design, Methodology and Analysis Ashani T. Weeraratna and Dennis D. Taub Chapter 2 Genomic Signal Processing: From Matrix Algebra to Genetic Networks Orly Alter Chapter 3 Online Analysis of Microarray Data Using Artificial Neural Networks Braden Greer and Javed Khan Chapter 4 Signal Processing and the Design of Microarray Time Series Experiments Robert R. Klevecz, Caroline M. Li and James L. Bolen Chapter 5 Predictive Models of Gene Regulation: Application of Regression Methods to Microarray Data Debopriya Das and Michael Q. Zhang Chapter 6 Statistical Framework for Gene Expression Data Analysis Olga Modlich and Marc Munnes Chapter 7 Gene Expression Profiles and Prognostic Markers for Primary Breast Cancer Yixin Wang, Jan Kljin, Yi Zhang, David Atkins and John Foekens Chapter 8 Comparing microarray studies Mayte Suárez-Fariñas and Marcelo O. Magnasco Chapter 9 A Pitfall in Series of Microarrays: The Position of Probes Affects the Cross Correlation of Gene Expression Profiles Gábor Balázsi and Zoltán N. Oltvai Chapter 10 In Depth Query of Large Genomes using Tiling Arrays Manoj Pratim Samanta, Waraporn Tongprasit and Viktor Stolc Chapter 11 Analysis of Comparative Genomic Hybridization Data on cDNA Microarrays Sven Bilke and Javed Khan Chapter 12 Integrated high-resolution genome-wide analysis of gene dosage and gene expression in human brain tumors Dejan Juric, Claudia Bredel, Branimir I. Sikic, and Markus Bredel Chapter 13 Progression-Associated Genes in Astrocytoma Identified by Novel Microarray Gene Expression Data Reanalysis Tobey J. MacDonald, Ian F. Pollack, Hideho Okada, Soumyaroop Bhattacharya, and JamesLyons-Weiler Chapter 14 Interpreting Microarray Results with Gene Ontology and MeSH Ontology John D. Osborne, Lihua (Julie) Zhu, Simon M. Lin, and Warren A. Kibbe Chapter 15 Incorporation of Gene Ontology Annotations to Enhance Microarray Data Analysis Michael F. Ochs, Aidan J. Peterson, Andrew Kossenkov, and Ghislain Bidaut Chapter 16 Predicting Survival in Follicular Lymphoma using Tissue Microarrays Michael J. Korenberg, Pedro Farinha, and Randy D. Gascoyne