Predictability of drug-induced liver injury by machine learning

Predictability of drug-induced liver injury by machine learning

Abstract Background Drug-induced liver injury (DILI) is a major concern in drug development, as hepatotoxicity may not be apparent at early stages but can lead to life threatening consequences. The ability to predict DILI from in vitro data would be a crucial advantage. In 2018, the Critical Assessm...

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Bibliographic Details
Main Authors: Marco Chierici, Margherita Francescatto, Nicole Bussola, Giuseppe Jurman, Cesare Furlanello
Format: Article
Language:English
Published: BMC 2020-02-01
Series:Biology Direct
Subjects:
Deep learning
DILI
Classification
Microarray
CMap
Online Access:https://doi.org/10.1186/s13062-020-0259-4

Internet

https://doi.org/10.1186/s13062-020-0259-4

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