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Predicting cytotoxicity from heterogeneous data sources with Bayesian learning

BACKGROUND: We collected data from over 80 different cytotoxicity assays from Pfizer in-house work as well as from public sources and investigated the feasibility of using these datasets, which come from a variety of assay formats (having for instance different measured endpoints, incubation times a...

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Detalles Bibliográficos
Autores principales:	Langdon, Sarah R, Mulgrew, Joanna, Paolini, Gaia V, van Hoorn, Willem P
Formato:	Texto
Lenguaje:	English
Publicado:	BioMed Central 2010
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3004804/ https://www.ncbi.nlm.nih.gov/pubmed/21143909 http://dx.doi.org/10.1186/1758-2946-2-11

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