A semi-supervised learning framework for quantitative structure–activity regression modelling

MOTIVATION: Quantitative structure–activity relationship (QSAR) methods are increasingly used in assisting the process of preclinical, small molecule drug discovery. Regression models are trained on data consisting of a finite-dimensional representation of molecular structures and their correspondin...

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Detalles Bibliográficos
Autores principales: Watson, Oliver, Cortes-Ciriano, Isidro, Watson, James A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058768/
https://www.ncbi.nlm.nih.gov/pubmed/32777821
http://dx.doi.org/10.1093/bioinformatics/btaa711

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8058768/
https://www.ncbi.nlm.nih.gov/pubmed/32777821
http://dx.doi.org/10.1093/bioinformatics/btaa711

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