An ensemble learning approach for modeling the systems biology of drug-induced injury

An ensemble learning approach for modeling the systems biology of drug-induced injury

Abstract Background Drug-induced liver injury (DILI) is an adverse reaction caused by the intake of drugs of common use that produces liver damage. The impact of DILI is estimated to affect around 20 in 100,000 inhabitants worldwide each year. Despite being one of the main causes of liver failure, t...

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Bibliographic Details
Main Authors: Joaquim Aguirre-Plans, Janet Piñero, Terezinha Souza, Giulia Callegaro, Steven J. Kunnen, Ferran Sanz, Narcis Fernandez-Fuentes, Laura I. Furlong, Emre Guney, Baldo Oliva
Format: Article
Language:English
Published: BMC 2021-01-01
Series:Biology Direct
Subjects:
CAMDA
Drug-induced liver injury
Hepatotoxicity
Drug safety
Systems biology
Machine learning
Online Access:https://doi.org/10.1186/s13062-020-00288-x

Internet

https://doi.org/10.1186/s13062-020-00288-x

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