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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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Lozano, Aurélie C., Abe, Naoki, Liu, Yan, Rosset, Saharon
Format: Artigo
Sprache:Inglês
Veröffentlicht: Oxford University Press 2009
Schlagworte:
Online Zugang: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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