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μTOSS (multiple hypotheses testing in an open software system) aims at providing a unified, extensible interface covering a large spectrum of multiple hypothesis testing procedures in R.
It features a graphical user interface and a simulation tool.
Realized as a Harvest Programme of the PASCAL2 European Network of Excellence (European Union).
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| Coordinators | Dr. Thorsten Dickhaus, Berlin Institute of Technology (dickhaus@cs.tu-berlin.de) Dr. Gilles Blanchard, Weierstrass Institute for Applied Analysis and Stochastics (WIAS) Berlin (blanchar@wias-berlin.de) Prof. Dr. Klaus-Robert Müller, Berlin Institute of Technology |
| Participants |
Niklas Hack, Medical University of Vienna Dr. Frank Konietschke, Georg-August-University Göttingen Kornelius Rohmeyer, Leibniz University Hannover Jonathan Rosenblatt, Tel Aviv University Marsel Scheer, German Diabetes Center Düsseldorf Wiebke Werft, German Cancer Research Center Heidelberg |
| Hosting site | Berlin Institute of Technology, Faculty IV, Machine Learning Department |
| Coding period | January 18th - February 12th, 2010 |
| Project Workshop | February 15th - February 16th, see Workshop website |
The project summary page you can find here.