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Found 4 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.
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.
Integrating Markov processes with structural causal modeling enables counterfactual inference in complex systems
In contrast, structural causal models support counterfactual inference, but do not identify the mechanisms.
On the Impact of Programming Languages on Code Quality
This paper is a reproduction of work by Ray et al. which claimed to have uncovered a statistically significant association between eleven programming languages and software defects in projects hosted on GitHub.
Software Engineering
