August 22, 2019 Presentation Open Access

Cadow Joris

DataCite XML Export

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  <identifier identifierType="DOI">10.5281/zenodo.3374393</identifier>
  <creators>
    <creator>
      <creatorName>Cadow Joris</creatorName>
    </creator>
  </creators>
  <titles>
    <title>Interpretable classification of molecular measurements via pathway-induced multiple kernel learning</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>molecular measurements</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-08-22</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Presentation</resourceType>
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  <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;Roadmap&lt;/p&gt;

&lt;p&gt;Molecular data classification: use network topology as a regulariser, define meta-features using pathway information Pathway-Induced. Multiple Kernel Learning (PIMKL):&amp;nbsp;concept,&amp;nbsp;pathway induction,&amp;nbsp;multiple kernel learning PIMKL benchmarking: benchmark against other prior knowledge informed methods on multiple breast cancer cohorts.&lt;br&gt;
PIMKL application: detects tumor samples accurately,&amp;nbsp;integrates multiple omics seamlessly,&amp;nbsp;identifies relevant pathways for each data type.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/668858/">668858</awardNumber>
      <awardTitle>PERSONALIZED ENGINE FOR CANCER INTEGRATIVE STUDY AND EVALUATION</awardTitle>
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