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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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| 出版年: | F1000Res |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
F1000Research
2015
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| 主題: | |
| オンライン･アクセス: | 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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