E-raamat: Microarray Data Analysis: Methods and Applications

Microarray technologies are commonly used to examine the gene expression profiles of cells and tissues. In this volume, 16 contributions from international researchers cover a wide range of methods and applications used in the analysis of the massive amounts of data generated by microarray experiments. Sample topics include the application of regression methods to microarray data; the design of microarray time-series experiments; and the analysis of comparative genomic hybridization data on cDNA microarrays. Editor Korenberg teaches electrical and computer engineering at Queen's U. in Ontario, Canada. Annotation ©2007 Book News, Inc., Portland, OR (booknews.com)



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.