%0 Generic %A Bernal Rubio, Yeni L. %A González-Reymúndez, Agustin %A Wu, Kuan-Han H. %A E. Griguer, Corinne %A P. Steibel, Juan %A de los Campos, Gustavo %A Doseff, Andrea %A A. Gallo, Kathleen %A I. Vazquez, Ana %D 2018 %T Supplemental Material for Bernal Rubio et al., 2018 %U https://gsajournals.figshare.com/articles/dataset/Supplemental_Material_for_Bernal_Rubio_et_al_2018/7096346 %R 10.25387/g3.7096346.v1 %2 https://ndownloader.figshare.com/files/13055048 %2 https://ndownloader.figshare.com/files/13055057 %2 https://ndownloader.figshare.com/files/13055054 %2 https://ndownloader.figshare.com/files/13055051 %2 https://ndownloader.figshare.com/files/13055093 %2 https://ndownloader.figshare.com/files/13055090 %2 https://ndownloader.figshare.com/files/13055087 %2 https://ndownloader.figshare.com/files/13055084 %2 https://ndownloader.figshare.com/files/13055081 %2 https://ndownloader.figshare.com/files/13055078 %2 https://ndownloader.figshare.com/files/13055102 %2 https://ndownloader.figshare.com/files/13055069 %2 https://ndownloader.figshare.com/files/13055072 %2 https://ndownloader.figshare.com/files/13055075 %2 https://ndownloader.figshare.com/files/13055060 %2 https://ndownloader.figshare.com/files/13055066 %2 https://ndownloader.figshare.com/files/13055096 %2 https://ndownloader.figshare.com/files/13055099 %2 https://ndownloader.figshare.com/files/13055063 %K Gene expression %K Glioblastoma Multiforme %K Methylation %K Prognosis %K Single Nucleotide Polymorphism %K Genomics %K Genetics %K Gene Expression (incl. Microarray and other genome-wide approaches) %K Epigenetics (incl. Genome Methylation and Epigenomics) %K Cancer %K Cancer Genetics %K Biostatistics %X

Supplementary files include description of omic datasets, quality control process, summary of omic information, results from gene set enrichment analysis, R code used for analysis (also available in https://github.com/anainesvs/BERNAL_RUBIO_etal_G3_2018),

as well as figures and tables related to results obtained from the implementation of multi-layered Bayesian regressions, for prediction of survival of GBM patients.


%I GSA Journals