August 22, 2019 Presentation Open Access

Cadow Joris

MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nam##2200000uu#4500</leader>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">molecular measurements</subfield>
  </datafield>
  <controlfield tag="005">20200120172404.0</controlfield>
  <controlfield tag="001">3374393</controlfield>
  <datafield tag="711" ind1=" " ind2=" ">
    <subfield code="d">21-25 July 2019</subfield>
    <subfield code="g">ISMB/ECCB 2019</subfield>
    <subfield code="a">27th Conference on Intelligent Systems for Molecular Biology and the 18th European Conference on Computational Biology</subfield>
    <subfield code="c">Basel, Switzerland</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">3076150</subfield>
    <subfield code="z">md5:e56578d909431e88de335e8d50d21489</subfield>
    <subfield code="u">https://zenodo.org/record/3374393/files/pimkl_slides_ismbeccb2019.pdf</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="y">Conference website</subfield>
    <subfield code="u">https://www.iscb.org/ismbeccb2019-program/tutorials</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2019-08-22</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire</subfield>
    <subfield code="p">user-ipc</subfield>
    <subfield code="p">user-precise</subfield>
    <subfield code="o">oai:zenodo.org:3374393</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="a">Cadow Joris</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Interpretable classification of molecular measurements via pathway-induced multiple kernel learning</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-ipc</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-precise</subfield>
  </datafield>
  <datafield tag="536" ind1=" " ind2=" ">
    <subfield code="c">668858</subfield>
    <subfield code="a">PERSONALIZED ENGINE FOR CANCER INTEGRATIVE STUDY AND EVALUATION</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&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;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.3374392</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.3374393</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">presentation</subfield>
  </datafield>
</record>