Data Mining for Biomarker Discovery / Springer Optimization and Its Applications Bd.65 (PDF)
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Data Mining for Biomarker Discovery is designed to motivate collaboration and discussion among various disciplines and will be of interest to students and researchers in engineering, computer science, applied mathematics, medicine, and anyone interested in the interdisciplinary application of data mining techniques. Biomarker discovery is an important area of biomedical research that can lead to significant breakthroughs in disease analysis and targeted therapy. Moreover, the discovery and management of new biomarkers is a challenging and attractive problem in the emerging field of biomedical informatics.
This volume is a collection of state-of-the-art research from select participants of the "International Conference on Biomedical Data and Knowledge Mining: Towards Biomarker Discovery," held July 7-9, 2010 in Chania, Greece. Contributions focus on biomarker data integration, information retrieval methods, and statistical machine learning techniques, all presented with new results, models, and algorithms.
- 2012, 2012, 246 Seiten, Englisch
- Herausgegeben: Panos M. Pardalos, Petros Xanthopoulos, Michalis Zervakis
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1461421071
- ISBN-13: 9781461421078
- Erscheinungsdatum: 11.02.2012
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