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Grouped graphical Granger modeling for gene expression regulatory networks discovery

We consider the problem of discovering gene regulatory networks from time-series microarray data. Recently, graphical Granger modeling has gained considerable attention as a promising direction for addressing this problem. These methods apply graphical modeling methods on time-series data and invoke...

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Detalhes bibliográficos
Main Authors: Lozano, Aurélie C., Abe, Naoki, Liu, Yan, Rosset, Saharon
Formato: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2009
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC2687953/
https://ncbi.nlm.nih.gov/pubmed/19477976
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/btp199
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