August 22, 2019 Presentation Open Access

Cadow Joris

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{
  "description": "<p>Roadmap</p>\n\n<p>Molecular data classification: use network topology as a regulariser, define meta-features using pathway information Pathway-Induced. Multiple Kernel Learning (PIMKL):&nbsp;concept,&nbsp;pathway induction,&nbsp;multiple kernel learning PIMKL benchmarking: benchmark against other prior knowledge informed methods on multiple breast cancer cohorts.<br>\nPIMKL application: detects tumor samples accurately,&nbsp;integrates multiple omics seamlessly,&nbsp;identifies relevant pathways for each data type.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Cadow Joris"
    }
  ], 
  "url": "https://zenodo.org/record/3374393", 
  "datePublished": "2019-08-22", 
  "@type": "PresentationDigitalDocument", 
  "keywords": [
    "molecular measurements"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3374393", 
  "@id": "https://doi.org/10.5281/zenodo.3374393", 
  "workFeatured": {
    "url": "https://www.iscb.org/ismbeccb2019-program/tutorials", 
    "alternateName": "ISMB/ECCB 2019", 
    "location": "Basel, Switzerland", 
    "@type": "Event", 
    "name": "27th Conference on Intelligent Systems for Molecular Biology and the 18th European Conference on Computational Biology"
  }, 
  "name": "Interpretable classification of molecular measurements via pathway-induced multiple kernel learning"
}