Werner Dubitzky / Martin Granzow / Daniel P. Berrar (eds.)

Fundamentals of Data Mining in Genomics and Proteomics

Herausgegeben:Dubitzky, Werner; Granzow, Martin; Berrar, Daniel P.

• Gebundenes Buch

Produktbeschreibung

This book presents state-of-the-art analytical methods from statistics and data mining for the analysis of high-throughput data from genomics and proteomics. It adopts an approach focusing on concepts and applications and presents key analytical techniques for the analysis of genomics and proteomics data by detailing their underlying principles, merits and limitations.

Produktdetails

• Verlag: Springer / Springer US / Springer, Berlin
• Artikelnr. des Verlages: 11590903, 978-0-387-47508-0
• 2007 edition
• Seitenzahl: 281
• Erscheinungstermin: 19. Dezember 2006
• Englisch
• Abmessung: 241mm x 167mm x 22mm
• Gewicht: 634g
• ISBN-13: 9780387475080
• ISBN-10: 0387475087
• Artikelnr.: 20946521

Autorenporträt

Werner Dubitzky, University of Ulster, Coleraine, Northern Ireland / Martin Granzow, Quantiom Bioinformatics GmbH & Co.KG, Weingarten/Baden, Germany / Daniel P. Berrar, University of Ulster, Coleraine, Northern Ireland

Inhaltsangabe

to Genomic and Proteomic Data Analysis.- Design Principles for Microarray Investigations.- Pre-Processing DNA Microarray Data.- Pre-Processing Mass Spectrometry Data.- Visualization in Genomics and Proteomics.- Clustering - Class Discovery in the Post-Genomic Era.- Feature Selection and Dimensionality Reduction in Genomics and Proteomics.- Resampling Strategies for Model Assessment and Selection.- Classification of Genomic and Proteomic Data Using Support Vector Machines.- Networks in Cell Biology.- Identifying Important Explanatory Variables for Time-Varying Outcomes.- Text Mining in Genomics and Proteomics.