Reproducible statistical analysis in microarray profiling studies

Authors:
Ulrich Mansmann;Markus Ruschhaupt;Wolfgang Huber
Affiliations:
Department for Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany;Division of Molecular Genome Analysis, German Cancer Research Center, Heidelberg, Germany;Division of Molecular Genome Analysis, German Cancer Research Center, Heidelberg, Germany
Venue:
PARA'04 Proceedings of the 7th international conference on Applied Parallel Computing: state of the Art in Scientific Computing
Year:
2004

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Abstract

Reproducibility of calculations is a longstanding issue within the statistical community. Due to the complexity of the algorithms, the size of the data sets, and the limitations of the medium printed paper it is usually not possible to report all the minutiae of the data processing and statistical computations. Like the critical assessment of a mathematical proof it should be possible to check the software behind a complex data analysis. To achieve reproducible calculations and to offer an extensible computational framework the tool of a compendium is discussed.