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Bayesian integration of networks without gold standards
Motivation: Biological experiments give insight into networks of processes inside a cell, but are subject to error and uncertainty. However, due to the overlap between the large number of experiments reported in public databases it is possible to assess the chances of individual observations being c...
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| Hauptverfasser: | , , , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Oxford University Press
2012
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3356839/ https://ncbi.nlm.nih.gov/pubmed/22492647 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bts154 |
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