Poster Open Access

PIMKL: Pathway Induced Multiple Kernel Learning

Manica Matteo; Cadow Joris; Mathis Roland; Rodriguez Martinez Maria

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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.3374413", 
  "title": "PIMKL: Pathway Induced Multiple Kernel Learning", 
  "issued": {
    "date-parts": [
      [
        2019, 
        8, 
        22
      ]
    ]
  }, 
  "abstract": "<p>What</p>\n\n<p>&bull; Accurate phenotype classification<br>\n&bull; Biological interpretability<br>\n&bull; Robustness to noise<br>\n&bull; Handling curse of dimensionality</p>\n\n<p>How</p>\n\n<p>Exploit prior knowledge from biological<br>\nnetworks<br>\n&bull; Apply multiple kernel learning for<br>\nfeature encoding<br>\n&bull; Use pathway annotations to enable<br>\ninterpretability</p>", 
  "author": [
    {
      "family": "Manica Matteo"
    }, 
    {
      "family": "Cadow Joris"
    }, 
    {
      "family": "Mathis Roland"
    }, 
    {
      "family": "Rodriguez Martinez Maria"
    }
  ], 
  "id": "3374413", 
  "event-place": "Basel, Switzerland", 
  "type": "graphic", 
  "event": "27th Conference on Intelligent Systems for Molecular Biology and the 18th European Conference on Computational Biology (ISMB/ECCB 2019)"
}
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Publication date:
August 22, 2019
DOI:
10.5281/zenodo.3374413

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10.5281/zenodo.3374413

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Keyword(s):
multiple kernel learning
Grants:
European Commission:
  • PrECISE - PERSONALIZED ENGINE FOR CANCER INTEGRATIVE STUDY AND EVALUATION (668858)
Meeting:
27th Conference on Intelligent Systems for Molecular Biology and the 18th European Conference on Computational Biology (ISMB/ECCB 2019), Basel, Switzerland, 21-25 July 2019
Communities:
License (for files):
Creative Commons Attribution 4.0 International

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