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Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregressive process
BACKGROUND: Causal networks based on the vector autoregressive (VAR) process are a promising statistical tool for modeling regulatory interactions in a cell. However, learning these networks is challenging due to the low sample size and high dimensionality of genomic data. RESULTS: We present a nove...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
BioMed Central
2007
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| Matèries: | |
| Accés en línia: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1892072/ https://ncbi.nlm.nih.gov/pubmed/17493252 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/1471-2105-8-S2-S3 |
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