| Title:
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DATA MINING FOR BIOMARKER DISCOVERY
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| By: |
Panos M. Pardalos (Editor), Petros Xanthopoulos (Editor), Michalis Zervakis (Editor) |
| Format: |
Hardback |
| List price:
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£109.99 |
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| ISBN 10: |
1461421063 |
| ISBN 13: |
9781461421061 |
| Publisher: |
SPRINGER-VERLAG NEW YORK INC. |
| Pub. date: |
9 February, 2012 |
| Edition: |
2012 ed. |
| Series: |
Springer Optimization and Its Applications 65 |
| Pages: |
246 |
| Description: |
This book applies data mining techniques to the discovery and analysis of new biomarkers. Presenting new results, models and algorithms, coverage focuses on biomarker data integration, information retrieval methods and statistical machine learning techniques. |
| Synopsis: |
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. |
| Illustrations: |
28 Tables, black and white; XIV, 246 p. |
| Publication: |
US |
| Imprint: |
Springer-Verlag New York Inc. |
| Returns: |
Returnable |