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CausalTrail: Testing hypothesis using causal Bayesian networks
Summary Causal Bayesian Networks are a special class of Bayesian networks in which the hierarchy directly encodes the causal relationships between the variables. This allows to compute the effect of interventions, which are external changes to the system, caused by e.g. gene knockouts or an administ...
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| Pubblicato in: | F1000Res |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
F1000Research
2015
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4743151/ https://ncbi.nlm.nih.gov/pubmed/26913195 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.12688/f1000research.7647.1 |
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