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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...
Autores principales: | Wang, Ying, Penfold, Christopher A., Hodgson, David A., Gifford, Miriam L., Burroughs, Nigel J. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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Materias: | |
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 |
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