Poster Open Access

Using attention-based neural networks to enable explainable drug sensitivity prediction on multimodal data

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

PaccMann tackles the challenging problem of drug sensitivity prediction adopting a holistic approach.
The model was trained on data from Genomics of Drug Sensitivity in Cancer (GDSC, https://www.cancerrxgene.org/)

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Publication date:
August 22, 2019
DOI:
10.5281/zenodo.3374375

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10.5281/zenodo.3374375

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Keyword(s):
drug sensitivity
Grants:
European Commission:
  • iPC - individualizedPaediatricCure: Cloud-based virtual-patient models for precision paediatric oncology (826121)
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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