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Automatic inference of multicellular regulatory networks using informative priors
To fully understand the mechanisms governing animal development, computational models and algorithms are needed to enable quantitative studies of the underlying regulatory networks. We developed a mathematical model based on dynamic Bayesian networks to model multicellular regulatory networks that g...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3024031/ https://ncbi.nlm.nih.gov/pubmed/20090166 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1504/IJCBDD.2009.028820 |
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