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Partially non-homogeneous dynamic Bayesian networks based on Bayesian regression models with partitioned design matrices
MOTIVATION: Non-homogeneous dynamic Bayesian networks (NH-DBNs) are a popular modelling tool for learning cellular networks from time series data. In systems biology, time series are often measured under different experimental conditions, and not rarely only some network interaction parameters depen...
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| Pubblicato in: | Bioinformatics |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Oxford University Press
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6581439/ https://ncbi.nlm.nih.gov/pubmed/30395165 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty917 |
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