Data Mining For Biomarker Discovery (Springer Optimization And Its Applications, 65)

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.

• • Author: Panos M. Pardalos, Petros Xanthopoulos, Michalis Zervakis
• • Publisher: Springer
• • Publication Date: Apr 12, 2014
• • Number of Pages: 260 pages
• • Language: English
• • Binding: Paperback
• • ISBN-10: 1489996435
• • ISBN-13: 9781489996435