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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2021
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| Materias: | |
| 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 |