<p>The systems toxicology computational challenge: identification of exposure response markers</p>

Vincenzo Belcastro; Carine Poussin; Stephanie Boue; Florian Martin; Alain Sewer; Bjoern Titz; manuel Peitsch C.; Julia Hoeng

doi:10.7490/f1000research.1111067.1

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Belcastro V, Poussin C, Boue S et al. The systems toxicology computational challenge: identification of exposure response markers [version 1; not peer reviewed]. F1000Research 2015, 4:1351 (poster) (https://doi.org/10.7490/f1000research.1111067.1)

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The systems toxicology computational challenge: identification of exposure response markers

Vincenzo Belcastro¹, Carine Poussin¹, Stephanie Boue, Florian Martin, Alain Sewer, Bjoern Titz, manuel Peitsch C., Julia Hoeng

Published 25 Nov 2015 (https://doi.org/10.7490/f1000research.1111067.1)

Author Affiliations

¹ PMI, Switzerland

Copyright © 2015 Belcastro V et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 25 Nov 2015

The systems toxicology computational challenge: identification of exposure response markers
[version 1; not peer reviewed]

Vincenzo Belcastro¹, Carine Poussin¹, Stephanie Boue, Florian Martin, Alain Sewer, Bjoern Titz, manuel Peitsch C., Julia Hoeng

Author Affiliations

¹ PMI, Switzerland

Presented at

Basel Computational Biology Conference 2015

8th Annual RECOMB/ISCB Conference on Regulatory and Systems Genomics, with DREAM Challenges 2015

Competing Interests

No competing interests were disclosed

Keywords

Computational challenge; signature; biomarker; machine learning

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