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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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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2010
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3004804/ https://ncbi.nlm.nih.gov/pubmed/21143909 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1758-2946-2-11 |
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