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Gaussian process regression bootstrapping: exploring the effects of uncertainty in time course data
Motivation: Although widely accepted that high-throughput biological data are typically highly noisy, the effects that this uncertainty has upon the conclusions we draw from these data are often overlooked. However, in order to assign any degree of confidence to our conclusions, we must quantify the...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2009
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2677737/ https://ncbi.nlm.nih.gov/pubmed/19289448 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp139 |
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