Bayesian differential analysis of gene regulatory networks exploiting genetic perturbations

BACKGROUND: Gene regulatory networks (GRNs) can be inferred from both gene expression data and genetic perturbations. Under different conditions, the gene data of the same gene set may be different from each other, which results in different GRNs. Detecting structural difference between GRNs under d...

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Detalles Bibliográficos
Autores principales: Li, Yan, Liu, Dayou, Li, Tengfei, Zhu, Yungang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953167/
https://www.ncbi.nlm.nih.gov/pubmed/31918656
http://dx.doi.org/10.1186/s12859-019-3314-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953167/
https://www.ncbi.nlm.nih.gov/pubmed/31918656
http://dx.doi.org/10.1186/s12859-019-3314-3

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