A Bayesian network approach incorporating imputation of missing data enables exploratory analysis of complex causal biological relationships

Bayesian networks can be used to identify possible causal relationships between variables based on their conditional dependencies and independencies, which can be particularly useful in complex biological scenarios with many measured variables. Here we propose two improvements to an existing method...

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Detalles Bibliográficos
Autores principales: Howey, Richard, Clark, Alexander D., Naamane, Najib, Reynard, Louise N., Pratt, Arthur G., Cordell, Heather J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504979/
https://www.ncbi.nlm.nih.gov/pubmed/34587167
http://dx.doi.org/10.1371/journal.pgen.1009811

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8504979/
https://www.ncbi.nlm.nih.gov/pubmed/34587167
http://dx.doi.org/10.1371/journal.pgen.1009811

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