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A fundamental task in various disciplines of science, including biology, is to find underlying causal relations and make use of them. Causal relations can be seen if interventions are properly applied; however, in many cases they are difficult or even impossible to conduct. It is then necessary to discover causal relations by analyzing statistical properties of purely observational data, which is known as causal discovery or causal structure search. This paper aims to give a introduction to anddoi:10.3389/fgene.2019.00524 pmid:31214249 pmcid:PMC6558187 fatcat:q2ruix27tjcc3b4oze4y7223by