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VIBE 2.0: Visual Integration for Bayesian Evaluation
Summary: Data fusion methods are powerful tools for evaluating experiments designed to discover measurable features of directly unobservable systems. We describe an interactive software platform, Visual Integration for Bayesian Evaluation, that ingests or creates Bayesian posterior probability matri...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Oxford University Press
2010
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| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2804300/ https://ncbi.nlm.nih.gov/pubmed/19933164 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp639 |
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