Data Mining for Biomarker Discovery (Hardcover, 2012 ed.)

Biomarker discovery is an important area of biomedical research that may lead to significant breakthroughs in disease analysis and targeted therapy. Biomarkers are biological entities whose alterations are measurable and are characteristic of a particular biological condition. Discovering, managing, and interpreting knowledge of new biomarkers are challenging and attractive problems in the emerging field of biomedical informatics. This volume is a collection of state-of-the-art research into the application of data mining to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, the included contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques. This volume is intended for students, and researchers in bioinformatics, proteomics, and genomics, as well engineers and applied scientists interested in the interdisciplinary application of data mining techniques.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Optimization and Its Applications, 65
Release date:	February 2012
First published:	2012
Editors:	Panos M. Pardalos • Petros Xanthopoulos • Michalis Zervakis
Dimensions:	235 x 155 x 20mm (L x W x T)
Format:	Hardcover
Pages:	246
Edition:	2012 ed.
ISBN-13:	978-1-4614-2106-1
Categories:	Books > Professional & Technical > Biochemical engineering > General Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Medicine > General issues > Medical equipment & techniques > General Books > Computing & IT > Applications of computing > Databases > Data mining Promotions
LSN:	1-4614-2106-3
Barcode:	9781461421061

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