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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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Bibliographic Details
Main Authors: Langdon, Sarah R, Mulgrew, Joanna, Paolini, Gaia V, van Hoorn, Willem P
Format: Artigo
Language:Inglês
Published: BioMed Central 2010
Subjects:
Online Access: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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