CausalTrail: Testing hypothesis using causal Bayesian networks
نویسندگان
چکیده
منابع مشابه
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 administered drug. Whereas numerous packages for constructing causal Bayesian networks are available, har...
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ژورنال
عنوان ژورنال: F1000Research
سال: 2015
ISSN: 2046-1402
DOI: 10.12688/f1000research.7647.1