Methodology of aiQSAR: a group-specific approach to QSAR modelling

BACKGROUND: Several QSAR methodology developments have shown promise in recent years. These include the consensus approach to generate the final prediction of a model, utilizing new, advanced machine learning algorithms and streamlining, standardization and automation of various QSAR steps. One appr...

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Detalles Bibliográficos
Autores principales: Vukovic, Kristijan, Gadaleta, Domenico, Benfenati, Emilio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446381/
https://www.ncbi.nlm.nih.gov/pubmed/30945010
http://dx.doi.org/10.1186/s13321-019-0350-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6446381/
https://www.ncbi.nlm.nih.gov/pubmed/30945010
http://dx.doi.org/10.1186/s13321-019-0350-y

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