Data Mining and Computational Intelligence in Genomics | Methods for Gene Expression Data Analysis

Andrei Dragomir

ISBN 10: 3639165268 / ISBN 13: 9783639165265

Published by VDM Verlag Dr. Müller, 2009

About this Item

Data Mining and Computational Intelligence in Genomics | Methods for Gene Expression Data Analysis | Andrei Dragomir | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639165265 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Seller Inventory # 101546348

Bibliographic Details

• Title: Data Mining and Computational Intelligence in Genomics | Methods for Gene Expression Data Analysis
• Publisher: VDM Verlag Dr. Müller
• Publication Date: 2009
• Language: English
• ISBN 10: 3639165268
• ISBN 13: 9783639165265
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 7D millimeters 220 millimeters width by 150 millimeters height by 7 millimeters depth
• Weight: 203 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

The advent of efficient genome sequencing tools and high-throughput experimental biotechnology has lead to an enormous progress in life sciences. Among the most important innovations is the microarray technology, which allowed whole genome measurements at transcriptional level. The characteristics of this data include a fair amount of noise and an atypical dimensionality (which makes difficult the use of classic statistics tools ? experimental samples in the order of dozens and measured parameters in thousands or tens of thousands). Therefore, this book presents a series of computational methods and algorithms, capable of extracting valuable biological knowledge from this type of data. Applications of microarrays and subsequent gene expression analysis range from the assignment of functional categories for genes of unknown biological function, to precise and early diagnosis of different tumor malignancies. Besides these, a central goal of computational analysis of gene expression data is the extraction of regulatory knowledge at genetic level that may be used to provide a broader understanding on the functioning of complex cellular systems.

About the Author

Received his B.S. in Electrical Engineering from the Politehnica University, Bucharest, Romania and his M.S. and Ph.D. in Biomedical Engineering from the University of Patras, Greece. He joined the Harrington Department of Bioengineering at Arizona State University as a postdoctoral researcher in December 2006.