Predicting drug-induced liver injury: The importance of data curation

Drug-induced liver injury (DILI) is a major issue for both patients and pharmaceutical industry due to insufficient means of prevention/prediction. In the current work we present a 2-class classification model for DILI, generated with Random Forest and 2D molecular descriptors on a dataset of 966 co...

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Detalles Bibliográficos
Autores principales: Kotsampasakou, Eleni, Montanari, Floriane, Ecker, Gerhard F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6422282/
https://www.ncbi.nlm.nih.gov/pubmed/28652195
http://dx.doi.org/10.1016/j.tox.2017.06.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6422282/
https://www.ncbi.nlm.nih.gov/pubmed/28652195
http://dx.doi.org/10.1016/j.tox.2017.06.003

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