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Granger causality vs. dynamic Bayesian network inference: a comparative study
BACKGROUND: In computational biology, one often faces the problem of deriving the causal relationship among different elements such as genes, proteins, metabolites, neurons and so on, based upon multi-dimensional temporal data. Currently, there are two common approaches used to explore the network s...
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| Autori principali: | , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
BioMed Central
2009
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| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2691740/ https://ncbi.nlm.nih.gov/pubmed/19393071 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-10-122 |
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