Bayesian integration of networks without gold standards

Motivation: Biological experiments give insight into networks of processes inside a cell, but are subject to error and uncertainty. However, due to the overlap between the large number of experiments reported in public databases it is possible to assess the chances of individual observations being c...

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Detalles Bibliográficos
Autores principales: Weile, Jochen, James, Katherine, Hallinan, Jennifer, Cockell, Simon J., Lord, Phillip, Wipat, Anil, Wilkinson, Darren J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2012
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3356839/
https://www.ncbi.nlm.nih.gov/pubmed/22492647
http://dx.doi.org/10.1093/bioinformatics/bts154

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3356839/
https://www.ncbi.nlm.nih.gov/pubmed/22492647
http://dx.doi.org/10.1093/bioinformatics/bts154

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