Günther Sawitzki

University of Heidelberg - StatLab Heidelberg

Academic Director

Im Neuenheimer Feld 294

Heidelberg, 69120








Scholarly Papers (2)


Bioconductor: Open Software Development for Computational Biology and Bioinformatics

Genome Biology, Vol. 5, No. 10, Article. R80, September 2004
Number of pages: 16 Posted: 26 Dec 2007
Vienna University of Economics and Business Administration - Department of Statistics and Mathematics, Dana-Farber Cancer Institute, Brigham and Women's Hopsital/Harvard Medical School - Channing Laboratory, University of Wisconsin - Madison - Department of Statistics, University of California, Berkeley - Division of Biostatistics, ETH Zurich - Seminar for Statistics, affiliation not provided to SSRN, Harvard University - Department of Statistics, Technical University of Denmark - Centre for Biological Sequence Analysis, Mt. Sinai School of Medicine - Biomathematical Sciences, Dana-Farber Cancer Institute, University of Erlangen-Nürnberg, DKFZ (German Cancer Research Center), University of Milan - Department of Economics, Business and Statistics, Johns Hopkins Bloomberg School of Public Health, Vienna University of Technology, Dana-Farber Cancer Institute, ETH Zentrum - Seminar für Statistik, University of Washington - Department of Medical Education and Biomedical Informatics, University of Heidelberg - StatLab Heidelberg, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Iowa - Department of Statistics & Actuarial Science, The University of Sydney and affiliation not provided to SSRN
Downloads 118 (187,333)


Genomic data, microarray


The Shorth Plot

CentER Discussion Paper No. 2008-24
Number of pages: 24 Posted: 21 Feb 2008
John H. J. Einmahl, Maria Gantner and Günther Sawitzki
Tilburg University - Department of Econometrics & Operations Research, Tilburg University - Center and Faculty of Economics and Business Administration and University of Heidelberg - StatLab Heidelberg
Downloads 41 (352,782)


Data analysis, distribution diagnostics, functional central limit theorem, probability mass concentration