Fundamentals of Data Mining in Genomics and Proteomics (Hardcover, 2007 ed.)

This book aims to present state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. Research and development in genomics and proteomics depend on the analysis and interpretation of large amounts of data generated by high-throughput techniques. To exploit data obtained from experimental and observational studies, life scientists need to understand the analytical techniques and methods from statistics and data mining. These techniques are not easily accessible to life scientists working on genomics and proteomics problems, as the available material is presented from a highly mathematical perspective, favoring formal rigor over conceptual clarity and assessment of practical relevance. This book addresses these issues by adopting an approach focusing on concepts and applications.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Release date:	December 2006
First published:	2007
Editors:	Werner Dubitzky • Martin Granzow • Daniel P. Berrar
Dimensions:	235 x 155 x 19mm (L x W x T)
Format:	Hardcover
Pages:	281
Edition:	2007 ed.
ISBN-13:	978-0-387-47508-0
Categories:	Books > Reference & Interdisciplinary > Communication studies > Data analysis Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues > Genetics (non-medical) > General Promotions
LSN:	0-387-47508-7
Barcode:	9780387475080

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