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          <r:AttributeValue>Uppsala University</r:AttributeValue>
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            <a:FirstGiven>Mateusz</a:FirstGiven>
            <a:LastFamily>Garbulowski</a:LastFamily>
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              <r:String>Mateusz Garbulowski</r:String>
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    <r:Citation>
      <r:Title>
        <r:String xml:lang="sv">SUPPLEMENTARY MATERIAL: Machine learning-based analysis of glioma grades reveals co-enrichment</r:String>
        <r:String xml:lang="en">SUPPLEMENTARY MATERIAL: Machine learning-based analysis of glioma grades reveals co-enrichment</r:String>
      </r:Title>
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          <r:URN>urn:ddi:se.researchdata:2024-339.Individual-0:2.0</r:URN>
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          <r:String xml:lang="sv">Uppsala universitet</r:String>
          <r:String xml:lang="en">Uppsala University</r:String>
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      <r:Publisher>
        <r:PublisherName>
          <r:String xml:lang="sv">Uppsala universitet</r:String>
          <r:String xml:lang="en">Uppsala University</r:String>
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      <r:PublicationDate>
        <r:SimpleDate>2021-10-05</r:SimpleDate>
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        <r:IdentifierContent>10.57804/6fa3-6v37</r:IdentifierContent>
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    <r:Abstract>
      <r:Content xml:lang="sv">Se engelsk version av beskrivningen för information. 
Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.</r:Content>
      <r:Content xml:lang="en">Examining glioma grading processes is valuable for improving therapeutic challenges. One of the most extensive repositories storing transcriptomics data for gliomas is The Cancer Genome Atlas (TCGA). However, such big cohorts should be processed with caution and evaluated thoroughly as they can contain batch and other effects. Furthermore, biological mechanisms of cancer contain interactions among biomarkers. Thus, we applied an interpretable machine learning approach to discover such relationships. This type of transparent learning provides not only good predictability, but also reveals co-predictive mechanisms among features. In this study, we corrected the strong and confounded batch effect in the TCGA glioma data. We further used the corrected datasets to perform comprehensive machine learning analysis applied on single-sample gene set enrichment scores using collections from the Molecular Signature Database. Furthermore, using rule-based classifiers, we displayed networks of co-enrichment related to glioma grades. Moreover, we validated our results using the external glioma cohorts.

The dataset was originally published in DiVA and moved to SND in 2024.</r:Content>
    </r:Abstract>
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        <r:URN>urn:ddi:se.researchdata:2024-339.TopicalCoverage:2.0</r:URN>
        <r:Subject xml:lang="en" controlledVocabularyID="10203" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Bioinformatics (Computational Biology)</r:Subject>
        <r:Subject xml:lang="sv" controlledVocabularyID="10203" controlledVocabularyName="Standard för svensk indelning av forskningsämnen 2025">Bioinformatik (beräkningsbiologi)</r:Subject>
        <r:Keyword xml:lang="en" controlledVocabularyID="p9788" controlledVocabularyName="YSO">gliomas</r:Keyword>
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        <r:Keyword xml:lang="en" controlledVocabularyID="p21846" controlledVocabularyName="YSO">machine learning</r:Keyword>
        <r:Keyword xml:lang="sv" controlledVocabularyID="p21846" controlledVocabularyName="YSO">maskininlärning</r:Keyword>
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      <r:URN>urn:ddi:se.researchdata:2024-339.Archive:2.0</r:URN>
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