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SEMgraph: an R package for causal network inference of high-throughput data with structural equation models.
Mario Grassi
Fernando Palluzzi
Barbara Tarantino
Published in:
Bioinform. (2022)
Keyphrases
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structural equation models
causal effects
causal models
bayesian networks
causal ordering
causal relations
causal interactions
probabilistic inference
causal discovery
decision making
directed acyclic graph