Dataset Open Access

Pre-Processed Cancer Multi-Omic Data from TCGA and Synthetic Data

Zhandos Sembay

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  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.5120970", 
  "title": "Pre-Processed Cancer Multi-Omic Data from TCGA and Synthetic Data", 
  "issued": {
    "date-parts": [
  "abstract": "<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></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:</p>\n\n<p></p>\n\n<p><strong>U-BRITE last update date:</strong>&nbsp;07/21/2021</p>", 
  "author": [
      "family": "Zhandos Sembay"
  "note": "U-BRITE location: /data/project/ubrite/cancer-hackathon/org/ieee-dataport/pre-processed-cancer-multi-omic-data-tcga-and-synthetic-data", 
  "type": "dataset", 
  "id": "5120970"
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