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

BibTeX Export

@misc{manica_matteo_2019_3374375,
  author       = {Manica Matteo and
                  Oskooei Ali and
                  Born Jannis and
                  Subramanian Vigneshwari and
                  Saez-Rodriguez Julio and
                  Rodriguez Martinez Maria},
  title        = {{Using attention-based neural networks to enable 
                   explainable drug sensitivity prediction on
                   multimodal data}},
  month        = aug,
  year         = 2019,
  publisher    = {Zenodo},
  doi          = {10.5281/zenodo.3374375},
  url          = {https://doi.org/10.5281/zenodo.3374375}
}
117
80
views
downloads
All versions This version
Views 117117
Downloads 8080
Data volume 405.5 MB405.5 MB
Unique views 104104
Unique downloads 7979
More info on how stats are collected.
Indexed in
Publication date:
August 22, 2019
DOI:
10.5281/zenodo.3374375

Zenodo DOI Badge

DOI 

10.5281/zenodo.3374375

Markdown 

[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3374375.svg)](https://doi.org/10.5281/zenodo.3374375)

reStructedText 

.. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.3374375.svg
   :target: https://doi.org/10.5281/zenodo.3374375

HTML 

<a href="https://doi.org/10.5281/zenodo.3374375"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.3374375.svg" alt="DOI"></a>

Image URL 

https://zenodo.org/badge/DOI/10.5281/zenodo.3374375.svg

Target URL 

https://doi.org/10.5281/zenodo.3374375

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

Versions

Version 1 10.5281/zenodo.3374375 Aug 22, 2019
Cite all versions? You can cite all versions by using the DOI 10.5281/zenodo.3374374. This DOI represents all versions, and will always resolve to the latest one. Read more.

Share

Cite as

Export