Correcting for link loss in causal network inference caused by regulator interference

Motivation: There are a number of algorithms to infer causal regulatory networks from time series (gene expression) data. Here we analyse the phenomena of regulator interference, where regulators with similar dynamics mutually suppress both the probability of regulating a target and the associated l...

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Detalles Bibliográficos
Autores principales: Wang, Ying, Penfold, Christopher A., Hodgson, David A., Gifford, Miriam L., Burroughs, Nigel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Original Papers
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173021/
https://www.ncbi.nlm.nih.gov/pubmed/24947751
http://dx.doi.org/10.1093/bioinformatics/btu388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4173021/
https://www.ncbi.nlm.nih.gov/pubmed/24947751
http://dx.doi.org/10.1093/bioinformatics/btu388

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