July 21, 2021 Dataset Open Access

Zhandos Sembay

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    "description": "<p><strong>ABSTRACT&nbsp;</strong></p>\n\n<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.&nbsp;</p>\n\n<p>In addition, we provide synthetic data for a mixture of isotropic distributions.</p>\n\n<p><strong>Instructions:&nbsp;</strong></p>\n\n<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>\n\n<p>The summary data contains only the numerical values. The columns are the features and the rows are the observations.</p>\n\n<p><strong>Inspiration:</strong></p>\n\n<p>This dataset uploaded to U-BRITE for &quot;AI against CANCER DATA SCIENCE HACKATHON&quot;</p>\n\n<p>https://cancer.ubrite.org/hackathon-2021/</p>\n\n<p><strong>Acknowledgements</strong></p>\n\n<p>Diego Salazar, June 20, 2021, &quot;Pre-processed Cancer multi-omic data from TCGA and synthetic data&quot;, IEEE Dataport, doi: https://dx.doi.org/10.21227/pjb8-d090.</p>\n\n<p>https://ieee-dataport.org/documents/pre-processed-cancer-multi-omic-data-tcga-and-synthetic-data</p>\n\n<p><strong>U-BRITE last update date:</strong>&nbsp;07/21/2021</p>", 
    "license": {
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    "title": "Pre-Processed Cancer Multi-Omic Data from TCGA and Synthetic Data", 
    "notes": "U-BRITE location: /data/project/ubrite/cancer-hackathon/org/ieee-dataport/pre-processed-cancer-multi-omic-data-tcga-and-synthetic-data", 
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    "publication_date": "2021-07-21", 
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