August 22, 2019 Poster Open Access

Manica Matteo; Oskooei Ali; Born Jannis; Subramanian Vigneshwari; Saez-Rodriguez Julio; Rodriguez Martinez Maria

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{
  "description": "<p>PaccMann tackles the challenging problem of drug sensitivity prediction adopting a holistic approach.<br>\nThe model was trained on data from Genomics of Drug Sensitivity in Cancer (GDSC, https://www.cancerrxgene.org/)</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "@type": "Person", 
      "name": "Manica Matteo"
    }, 
    {
      "@type": "Person", 
      "name": "Oskooei Ali"
    }, 
    {
      "@type": "Person", 
      "name": "Born Jannis"
    }, 
    {
      "@type": "Person", 
      "name": "Subramanian Vigneshwari"
    }, 
    {
      "@type": "Person", 
      "name": "Saez-Rodriguez Julio"
    }, 
    {
      "@type": "Person", 
      "name": "Rodriguez Martinez Maria"
    }
  ], 
  "url": "https://zenodo.org/record/3374375", 
  "datePublished": "2019-08-22", 
  "@type": "CreativeWork", 
  "keywords": [
    "drug sensitivity"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3374375", 
  "@id": "https://doi.org/10.5281/zenodo.3374375", 
  "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": "Using attention-based neural networks to enable explainable drug sensitivity prediction on multimodal data"
}