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Expectation propagation for large scale Bayesian inference of non-linear molecular networks from perturbation data
Inferring the structure of molecular networks from time series protein or gene expression data provides valuable information about the complex biological processes of the cell. Causal network structure inference has been approached using different methods in the past. Most causal network inference t...
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| Publicado en: | PLoS One |
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| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science
2017
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5293552/ https://ncbi.nlm.nih.gov/pubmed/28166542 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0171240 |
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