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

Internet

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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