Research article
Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data
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* Corresponding author: Fabian J Theis fabian.theis@helmholtz-muenchen.de
1 Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, Germany
2 Faculty of Biology, Ludwig-Maximilians-Universität, Planegg-Martinsried, Germany
3 Institute of Epidemiology, Helmholtz Zentrum München, Germany
4 Institute of Experimental Genetics, Genome Analysis Center, Helmholtz Zentrum München, Germany
5 Department of Mathematics, Technische Universität München, Germany
BMC Systems Biology 2011, 5:21 doi:10.1186/1752-0509-5-21
Published: 31 January 2011Additional files
Additional file 1:
Further results on computer-simulated networks.
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Additional file 2:
Effects of genetic variation on GGM calculation.
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Additional file 3:
Modularity: Optimized partitioning and weighted calculation.
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Additional file 4:
Stability of the GGM with respect to changes in the underlying data set.
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Additional file 5:
comparison with low-order partial correlation approaches.
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Additional file 6:
Literature-curated pathway model of human fatty acid biosynthesis and degradation.
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