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High-dimensional omics data

Modern molecular measurement techniques in biomedicine, such as microarrays, promise deeper insight into subject matter questions. However, they require careful experimental design, preprocessing of the resulting highdimensional data, and often advanced statistical modeling techniques. Furthermore, all these steps are interlinked. No single discipline or researcher can provide all these components, and even closely related steps such as preprocessing and statistical modeling may require expertise from different researchers.

The Freiburg Center for Data Analysis and Modeling (FDM) provides such specific expert knowledge in several methodological areas, which can provide additional insight when combined with the competencies of the clinical and biological departments.


July 14, 2009  - 14:00

  • High-dimensional omics data: Experimental and statistical experts join forces

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Clemens Kreutz ckreutz@fdm.uni-freiburg.de
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