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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...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
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BioMed Central
2009
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2691740/ https://www.ncbi.nlm.nih.gov/pubmed/19393071 http://dx.doi.org/10.1186/1471-2105-10-122 |