Overview
Presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics
Includes supplementary material: sn.pub/extras
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Table of contents (12 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Fundamentals of Data Mining in Genomics and Proteomics
Editors: Werner Dubitzky, Martin Granzow, Daniel Berrar
DOI: https://doi.org/10.1007/978-0-387-47509-7
Publisher: Springer New York, NY
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer-Verlag US 2007
Hardcover ISBN: 978-0-387-47508-0Published: 19 December 2006
Softcover ISBN: 978-1-4419-4291-3Published: 04 November 2010
eBook ISBN: 978-0-387-47509-7Published: 13 April 2007
Edition Number: 1
Number of Pages: XXII, 281
Number of Illustrations: 68 b/w illustrations
Topics: Bioinformatics, Biochemistry, general, Statistics, general, Computer Appl. in Life Sciences, Biotechnology, Proteomics