Feature combination networks for the interpretation of statistical machine learning models: application to Ames mutagenicity

BACKGROUND: A new algorithm has been developed to enable the interpretation of black box models. The developed algorithm is agnostic to learning algorithm and open to all structural based descriptors such as fragments, keys and hashed fingerprints. The algorithm has provided meaningful interpretatio...

Descripción completa

Detalles Bibliográficos
Autores principales: Webb, Samuel J, Hanser, Thierry, Howlin, Brendan, Krause, Paul, Vessey, Jonathan D
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3997921/
https://www.ncbi.nlm.nih.gov/pubmed/24661325
http://dx.doi.org/10.1186/1758-2946-6-8

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3997921/
https://www.ncbi.nlm.nih.gov/pubmed/24661325
http://dx.doi.org/10.1186/1758-2946-6-8

Ejemplares similares