Supplementary file including normalized data sets to reproduce the analyses presented in the paper "Use of pre-transformation to cope with extreme values in important candidate features" by Boulesteix, Guillemot & Sauerbrei (Biometrical Journal, 2011)

Citation: Supplementary file including normalized data sets to reproduce the analyses presented in the paper "Use of pre-transformation to cope with extreme values in important candidate features" by Boulesteix, Guillemot & Sauerbrei (Biometrical Journal, 2011). 14. March 2011. Open Data LMU. 10.5282/ubm/data.39

Abstract

The zip-file contains supplementary files (normalized data sets and R-codes) to reproduce the analyses presented in the paper "Use of pre-transformation to cope with extreme values in important candidate features" by Boulesteix, Guillemot & Sauerbrei (Biometrical Journal, 2011). The raw data (CEL-files) are publicly available and described in the following papers: - Ancona et al, 2006. On the statistical assessment of classifiers using DNA microarray data. BMC Bioinformatics 7, 387. - Miller et al, 2005. An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival. Proceedings of the National Academy of Science 102, 13550–13555. - Minn et al, 2005. Genes that mediate breast cancer metastasis to lung. Nature 436, 518–524. - Pawitan et al, 2005. Gene expression profiling spares early breast cancer patients from adjuvant therapy: derived and validated in two population-based cohorts. Breast Cancer Research 7, R953–964. - Scherzer et al, 2007. Molecular markers of early parkinsons disease based on gene expression in blood. Proceedings of the National Academy of Science 104, 955-960. - Singh et al, 2002. Gene expression correlates of clinical prostate cancer behavior. Cancer Cell 1, 203–209. - Sotiriou et al, 2006. Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis. Journal of the National Cancer Institute 98, 262–272. - Tang et al, 2009. Gene-expression profiling of peripheral blood mononuclear cells in sepsis. Critical Care Medicine 37, 882–888. - Wang et al, 2005. Gene-expression profiles to predict distant metastasis of lymph-node-negative primary breast cancer. Lancet 365, 671–679. - Irizarry, 2003. Summaries of Affymetrix GeneChip probe level data. Nucleic Acids Res 31 (4), e15. - Irizarry et al, 2006. Comparison of Affymetrix GeneChip expression measures. Bioinformatics 22 (7), 789–794.

• Item Type: Data
• Subjects: Faculty of Medicine
• Dewey Decimal Classification: 600 Natural sciences and mathematics