Dataset Open Access

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

Zhandos Sembay


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  <identifier identifierType="DOI">10.5281/zenodo.5120970</identifier>
  <creators>
    <creator>
      <creatorName>Zhandos Sembay</creatorName>
    </creator>
  </creators>
  <titles>
    <title>Pre-Processed Cancer Multi-Omic Data from TCGA and Synthetic Data</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2021</publicationYear>
  <subjects>
    <subject>cancer</subject>
    <subject>multi-omic</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2021-07-21</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5120970</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.5120969</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/ubrite</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;ABSTRACT&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;It contains the data of four omic profiles (CNV, mRNA, miRNA, and protein) obtained for BRCA, LGG, and LUAD obtained from the TCGA project.&amp;nbsp;&lt;/p&gt;

&lt;p&gt;In addition, we provide synthetic data for a mixture of isotropic distributions.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Instructions:&amp;nbsp;&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;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.&lt;/p&gt;

&lt;p&gt;The summary data contains only the numerical values. The columns are the features and the rows are the observations.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Inspiration:&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;This dataset uploaded to U-BRITE for &amp;quot;AI against CANCER DATA SCIENCE HACKATHON&amp;quot;&lt;/p&gt;

&lt;p&gt;https://cancer.ubrite.org/hackathon-2021/&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;Acknowledgements&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;Diego Salazar, June 20, 2021, &amp;quot;Pre-processed Cancer multi-omic data from TCGA and synthetic data&amp;quot;, IEEE Dataport, doi: https://dx.doi.org/10.21227/pjb8-d090.&lt;/p&gt;

&lt;p&gt;https://ieee-dataport.org/documents/pre-processed-cancer-multi-omic-data-tcga-and-synthetic-data&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;U-BRITE last update date:&lt;/strong&gt;&amp;nbsp;07/21/2021&lt;/p&gt;</description>
    <description descriptionType="Other">U-BRITE location: /data/project/ubrite/cancer-hackathon/org/ieee-dataport/pre-processed-cancer-multi-omic-data-tcga-and-synthetic-data</description>
  </descriptions>
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