<p>Integrative systems biology approach to predict Drug-Induced Liver Injury</p>

Joaquim Aguirre-Plans; Terezinha Souza; Janet Piñero; Giulia Callegaro; Steven J. Kunnen; Laura I. Furlong; Baldo Oliva; Emre Guney

doi:10.7490/f1000research.1117209.1

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Aguirre-Plans J, Souza T, Piñero J et al. Integrative systems biology approach to predict Drug-Induced Liver Injury [version 1; not peer reviewed]. F1000Research 2019, 8(ISCB Comm J):1283 (slides) (https://doi.org/10.7490/f1000research.1117209.1)

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Integrative systems biology approach to predict Drug-Induced Liver Injury

Joaquim Aguirre-Plans¹, Terezinha Souza, Janet Piñero, Giulia Callegaro, Steven J. Kunnen, Laura I. Furlong, Baldo Oliva¹, Emre Guney²

Published 31 Jul 2019 (https://doi.org/10.7490/f1000research.1117209.1)

Author Affiliations

¹ Universitat Pompeu Fabra, Spain
² Hospital del Mar Medical Research Institute, Spain

Copyright © 2019 Aguirre-Plans J 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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Published 31 Jul 2019

Integrative systems biology approach to predict Drug-Induced Liver Injury
[version 1; not peer reviewed]

Joaquim Aguirre-Plans¹, Terezinha Souza, Janet Piñero, Giulia Callegaro, Steven J. Kunnen, Laura I. Furlong, Baldo Oliva¹, Emre Guney²

Author Affiliations

¹ Universitat Pompeu Fabra, Spain
² Hospital del Mar Medical Research Institute, Spain

Presented at

ISMB/ECCB 2019

Abstract

Competing Interests

No competing interests were disclosed

Keywords

CAMDA, drug-induced liver injury, hepatotoxicity, drug safety, systems biology, machine learning, cmap, drug structure

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