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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Detalles Bibliográficos
Autores principales: Shafiee Kamalabad, Mahdi, Grzegorczyk, Marco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074473/
https://www.ncbi.nlm.nih.gov/pubmed/33902443
http://dx.doi.org/10.1186/s12859-021-03998-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8074473/
https://www.ncbi.nlm.nih.gov/pubmed/33902443
http://dx.doi.org/10.1186/s12859-021-03998-9

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