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Proteochemometric modeling in a Bayesian framework
Proteochemometrics (PCM) is an approach for bioactivity predictive modeling which models the relationship between protein and chemical information. Gaussian Processes (GP), based on Bayesian inference, provide the most objective estimation of the uncertainty of the predictions, thus permitting the e...
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| Main Authors: | , , , , , |
|---|---|
| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
BioMed Central
2014
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| Fag: | |
| Online adgang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4083135/ https://ncbi.nlm.nih.gov/pubmed/25045403 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1758-2946-6-35 |
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