10.25387/g3.7092146.v1 Yeni L. Bernal Rubio Yeni L. Bernal Rubio Agustin González-Reymúndez Agustin González-Reymúndez Kuan-Han H. Wu Kuan-Han H. Wu Corinne E. Griguer Corinne E. Griguer Juan P. Steibel Juan P. Steibel Gustavo de los Campos Gustavo de los Campos Andrea Doseff Andrea Doseff Kathleen A. Gallo Kathleen A. Gallo Ana I. Vazquez Ana I. Vazquez Supplemental Material for Bernal Rubio et al., 2018 GSA Journals 2018 Gene expression Glioblastoma multiforme Methylation Prognosis Single nucleotide polymorphism. Cancer Epigenetics (incl. Genome Methylation and Epigenomics) Gene Expression (incl. Microarray and other genome-wide approaches) Genetics Genomics Cancer Genetics Biostatistics 2018-09-18 14:04:53 Dataset https://gsajournals.figshare.com/articles/dataset/Supplemental_Material_for_Bernal_Rubio_et_al_2018/7092146 <p>The dataset "GBM_DATA.rda" contains multi-omic data, clinical and demographics, which are used to evaluate whether integrating multi-omic profiles with clinical and demographic information leads to an improved ability to predict survival in glioblastoma multiforme patients. Information included was generated by the TCGA Research Network through the National Cancer Institute Genomic Data Commons portal: <u><a href="https://portal.gdc.cancer.gov/">https://portal.gdc.cancer.gov/</a></u>. Also, open access data can be accessed through the web-based GDC Data Portal (IRB permission number 15-827). Source code related to the dataset is available at the website <u><a href="https://github.com/anainesvs/glioblastoma">https://github.com/anainesvs/glioblastoma</a></u>.</p><p></p><div><br></div>