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A new Bayesian piecewise linear regression model for dynamic network reconstruction
BACKGROUND: Linear regression models are important tools for learning regulatory networks from gene expression time series. A conventional assumption for non-homogeneous regulatory processes on a short time scale is that the network structure stays constant across time, while the network parameters...
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| Publicat a: | BMC Bioinformatics |
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| Autors principals: | , |
| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2021
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8074473/ https://ncbi.nlm.nih.gov/pubmed/33902443 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-021-03998-9 |
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