Methods of Microarray Data Analysis - Papers from CAMDA '00 (Hardcover, 2002 ed.)

Microarray technology is a major experimental tool for functional genomic explorations, and will continue to be a major tool throughout this decade and beyond. The recent explosion of this technology threatens to overwhelm the scientific community with massive quantities of data. Because microarray data analysis is an emerging field, very few analytical models currently exist. Methods of Microarray Data Analysis is one of the first books dedicated to this exciting new field. In a single reference, readers can learn about the most up-to-date methods ranging from data normalization, feature selection and discriminative analysis to machine learning techniques. Currently, there are no standard procedures for the design and analysis of microarray experiments. Methods of Microarray Data Analysis focuses on two well-known data sets, using a different method of analysis in each chapter. Real examples expose the strengths and weaknesses of each method for a given situation, aimed at helping readers choose appropriate protocols and utilize them for their own data set. In addition, web links are provided to the programs and tools discussed in several chapters. This book is an excellent reference not only for academic and industrial researchers, but also for core bioinformatics/genomics courses in undergraduate and graduate programs.

General

Imprint:	Springer
Country of origin:	Netherlands
Release date:	November 2001
First published:	November 2001
Editors:	Simon M. Lin • Kimberly F. Johnson
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Hardcover
Pages:	189
Edition:	2002 ed.
ISBN-13:	978-0-7923-7564-7
Categories:	Books > Science & Mathematics > Biology, life sciences > Biochemistry > General Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General Promotions
LSN:	0-7923-7564-5
Barcode:	9780792375647

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