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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...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2007
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1892072/ https://www.ncbi.nlm.nih.gov/pubmed/17493252 http://dx.doi.org/10.1186/1471-2105-8-S2-S3 |