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>