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Sparse graphical Gaussian modeling of the isoprenoid gene network in Arabidopsis thaliana.
Wille A,
Zimmermann P,
Vranová E,
Fürholz A,
Laule O,
Bleuler S,
Hennig L,
Prelic A,
von Rohr P,
Thiele L,
Zitzler E,
Gruissem W,
Bühlmann P.
Reverse Engineering Group, Swiss Federal Institute of Technology (ETH), Zurich. awille@inf.ethz.ch
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 and candidate genes for possible cross-talk between the isoprenoid pathways. Genes of downstream pathways also fit well into the network. We evaluate our approach in a simulation study and using the yeast galactose network.
PMID: 15535868 [PubMed - indexed for MEDLINE]
PMCID: PMC545783
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Cited by 12 PubMed Central articles
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[Plant Physiol. 2008]
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