caa a22 4500 378925792 CHVBK 20180305123617.0 cr unu---uuuuu 161128e20041219xx s 000 0 eng 10.2202/1544-6115.1078 doi (NATIONALLICENCE)gruyter-10.2202/1544-6115.1078 A Compendium to Ensure Computational Reproducibility in High-Dimensional Classification Tasks [Elektronische Daten] [Markus Ruschhaupt, Wolfgang Huber, Annemarie Poustka, Ulrich Mansmann] We demonstrate a concept and implementation of a compendium for the classification of high-dimensional data from microarray gene expression profiles. A compendium is an interactive document that bundles primary data, statistical processing methods, figures, and derived data together with the textual documentation and conclusions. Interactivity allows the reader to modify and extend these components. We address the following questions: how much does the discriminatory power of a classifier depend on the choice of the algorithm that was used to identify it; what alternative classifiers could be used just as well; how robust is the result. The answers to these questions are essential prerequisites for validation and biological interpretation of the classifiers. We show how to use this approach by looking at these questions for a specific breast cancer microarray data set that first has been studied by Huang et al. (2003). ©2011 Walter de Gruyter GmbH & Co. KG, Berlin/Boston Computation nationallicence Disease Modeling nationallicence Microarrays nationallicence Computational Biology/Bioinformatics nationallicence compendium nationallicence machine learning nationallicence classification nationallicence microarray nationallicence cancer nationallicence Ruschhaupt Markus German Cancer Research Centre aut Huber Wolfgang German Cancer Research Center, Heidelberg, Germany aut Poustka Annemarie German Cancer Research Centre aut Mansmann Ulrich University of Heidelberg aut Statistical Applications in Genetics and Molecular Biology De Gruyter 3/1(2004-12-19), 1-24 3:1<1 2004 3 sagmb https://doi.org/10.2202/1544-6115.1078 text/html Onlinezugriff via DOI 1 research article jats NATIONALLICENCE 856 40 https://doi.org/10.2202/1544-6115.1078 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ruschhaupt Markus German Cancer Research Centre aut NATIONALLICENCE 700 1- Huber Wolfgang German Cancer Research Center, Heidelberg, Germany aut NATIONALLICENCE 700 1- Poustka Annemarie German Cancer Research Centre aut NATIONALLICENCE 700 1- Mansmann Ulrich University of Heidelberg aut NATIONALLICENCE 773 0- Statistical Applications in Genetics and Molecular Biology De Gruyter 3/1(2004-12-19), 1-24 3:1<1 2004 3 sagmb CC0 http://creativecommons.org/publicdomain/zero/1.0 nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-gruyter