Gene regulatory network inference based on a nonhomogeneous dynamic Bayesian network model with an improved Markov Monte Carlo sampling

A nonhomogeneous dynamic Bayesian network model, which combines the dynamic Bayesian network and the multi-change point process, solves the limitations of the dynamic Bayesian network in modeling non-stationary gene expression data to a certain extent. However, certain problems persist, such as the...

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Detalles Bibliográficos
Autores principales: Zhang, Jiayao, Hu, Chunling, Zhang, Qianqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290802/
https://www.ncbi.nlm.nih.gov/pubmed/37355560
http://dx.doi.org/10.1186/s12859-023-05381-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10290802/
https://www.ncbi.nlm.nih.gov/pubmed/37355560
http://dx.doi.org/10.1186/s12859-023-05381-2

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