Joint estimation of causal effects from observational and intervention gene expression data

BACKGROUND: In recent years, there has been great interest in using transcriptomic data to infer gene regulatory networks. For the time being, methodological development in this area has primarily made use of graphical Gaussian models for observational wild-type data, resulting in undirected graphs...

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Detalles Bibliográficos
Autores principales: Rau, Andrea, Jaffrézic, Florence, Nuel, Grégory
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3834107/
https://www.ncbi.nlm.nih.gov/pubmed/24172639
http://dx.doi.org/10.1186/1752-0509-7-111

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3834107/
https://www.ncbi.nlm.nih.gov/pubmed/24172639
http://dx.doi.org/10.1186/1752-0509-7-111

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