Sparse graphical Gaussian modeling of the isoprenoid gene network in Arabidopsis thaliana

We present a novel graphical Gaussian modeling approach for reverse engineering of genetic regulatory networks with many genes and few observations. When applying our approach to infer a gene network for isoprenoid biosynthesis in Arabidopsis thaliana, we detect modules of closely connected genes an...

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Bibliografische gegevens
Hoofdauteurs: Wille, Anja, Zimmermann, Philip, Vranová, Eva, Fürholz, Andreas, Laule, Oliver, Bleuler, Stefan, Hennig, Lars, Prelić, Amela, von Rohr, Peter, Thiele, Lothar, Zitzler, Eckart, Gruissem, Wilhelm, Bühlmann, Peter
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: BioMed Central 2004
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Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC545783/
https://ncbi.nlm.nih.gov/pubmed/15535868
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/gb-2004-5-11-r92
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