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Found 3 papers, 2 papers with code
Experimental design for causal query estimation in partially observed biomolecular networks
Therefore, designing an experiment based on a well-chosen subset of network components can increase estimation accuracy, and reduce experimental and computational costs.
Do-calculus enables estimation of causal effects in partially observed biomolecular pathways
This has limited the use of LVMs for causal inference in biomolecular pathways.
Leveraging Structured Biological Knowledge for Counterfactual Inference: a Case Study of Viral Pathogenesis
This manuscript proposes a general approach for querying a causal biological knowledge graph, and converting the qualitative result into a quantitative structural causal model that can learn from data to answer the question.
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