Zhandos Sembay
2021-07-21
<p><strong>ABSTRACT </strong></p>
<p>It contains the data of four omic profiles (CNV, mRNA, miRNA, and protein) obtained for BRCA, LGG, and LUAD obtained from the TCGA project. </p>
<p>In addition, we provide synthetic data for a mixture of isotropic distributions.</p>
<p><strong>Instructions: </strong></p>
<p>Cancer data are identified by cancer type (LGG: low-grade glioma, BRCA: breast cancer, and LUAD: lung cancer). The data are scaled by using the minima and maxima of each column so that the values are between 0 and 1. In these files, the columns are the features and the rows correspond to the patients.</p>
<p>The summary data contains only the numerical values. The columns are the features and the rows are the observations.</p>
<p><strong>Inspiration:</strong></p>
<p>This dataset uploaded to U-BRITE for "AI against CANCER DATA SCIENCE HACKATHON"</p>
<p>https://cancer.ubrite.org/hackathon-2021/</p>
<p><strong>Acknowledgements</strong></p>
<p>Diego Salazar, June 20, 2021, "Pre-processed Cancer multi-omic data from TCGA and synthetic data", IEEE Dataport, doi: https://dx.doi.org/10.21227/pjb8-d090.</p>
<p>https://ieee-dataport.org/documents/pre-processed-cancer-multi-omic-data-tcga-and-synthetic-data</p>
<p><strong>U-BRITE last update date:</strong> 07/21/2021</p>
U-BRITE location: /data/project/ubrite/cancer-hackathon/org/ieee-dataport/pre-processed-cancer-multi-omic-data-tcga-and-synthetic-data
https://doi.org/10.5281/zenodo.5120970
oai:zenodo.org:5120970
Zenodo
https://zenodo.org/communities/ubrite
https://doi.org/10.5281/zenodo.5120969
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cancer
multi-omic
Pre-Processed Cancer Multi-Omic Data from TCGA and Synthetic Data
info:eu-repo/semantics/other