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Dataset Open Access

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

Zhandos Sembay


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    <dct:title>Pre-Processed Cancer Multi-Omic Data from TCGA and Synthetic Data</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2021</dct:issued>
    <dcat:keyword>cancer</dcat:keyword>
    <dcat:keyword>multi-omic</dcat:keyword>
    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2021-07-21</dct:issued>
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    <dct:description>&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;</dct:description>
    <dct:description>U-BRITE location: /data/project/ubrite/cancer-hackathon/org/ieee-dataport/pre-processed-cancer-multi-omic-data-tcga-and-synthetic-data</dct:description>
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