Optimal adjustment sets for causal query estimation in partially observed biomolecular networks

Causal query estimation in biomolecular networks commonly selects a ‘valid adjustment set’, i.e. a subset of network variables that eliminates the bias of the estimator. A same query may have multiple valid adjustment sets, each with a different variance. When networks are partially observed, curren...

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Detalles Bibliográficos
Autores principales: Mohammad-Taheri, Sara, Tewari, Vartika, Kapre, Rohan, Rahiminasab, Ehsan, Sachs, Karen, Tapley Hoyt, Charles, Zucker, Jeremy, Vitek, Olga
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Systems Biology and Networks
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311316/
https://www.ncbi.nlm.nih.gov/pubmed/37387179
http://dx.doi.org/10.1093/bioinformatics/btad270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10311316/
https://www.ncbi.nlm.nih.gov/pubmed/37387179
http://dx.doi.org/10.1093/bioinformatics/btad270

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