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 volumeis a collection of state-of-the-artresearch 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 wellengineers and
applied scientistsinterested in the interdisciplinary application
of data mining techniques."
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