Gene expression analysis of glioblastomas identifies the major molecular basis for the prognostic benefit of younger age1 Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095-7088 USA 2 The Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona 85013 USA 3 Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095-1769 USA 4 Department of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095-6901 USA 5 Department of Biostatistics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095-1772 USA 6 Jonsson Comprehensive Cancer Center, University of California Los Angeles, Los Angeles, California 90095-1781 USA
BMC Medical Genomics 2008, 1:52doi:10.1186/1755-8794-1-52
Additional filesAdditional file 1: Tumour sample clinical covariates meta-data. e.g. Time of survival (days), sex, and age where available. Format: XLS Size: 424KB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 2: Standard protocol recommended by Affymetrix used at UCLA DNA Microarray Facility. Format: DOC Size: 25KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 3: List of Affymetrix probesets used for voting each tumour across each of the Affymetrix platforms. Format: XLS Size: 249KB Download file This file can be viewed with: Microsoft Excel Viewer Additional file 4: The full R code used for Kaplan-Meier survival curves, Multivariate/Univariate Cox proportional Hazards models, and correlations between age and gene expression. Format: DOC Size: 43KB Download file This file can be viewed with: Microsoft Word Viewer |




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