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. Ed(S): Pardalos, Panos M.; Xanthopoulos, Petros; Zervakis, Michalis - Data Mining for Biomarker Discovery - 9781489996435 - V9781489996435
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Data Mining for Biomarker Discovery

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Description for Data Mining for Biomarker Discovery paperback. 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. Editor(s): Pardalos, Panos M.; Xanthopoulos, Petros; Zervakis, Michalis. Series: Springer Optimization and its Applications. Num Pages: 260 pages, 28 black & white tables, biography. BIC Classification: KJT; MBG; TC; UNF. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 15. Weight in Grams: 403.

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.

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Product Details

Format
Paperback
Publication date
2014
Publisher
Springer United States
Number of pages
260
Condition
New
Series
Springer Optimization and its Applications
Number of Pages
246
Place of Publication
New York, United States
ISBN
9781489996435
SKU
V9781489996435
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15

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