Open Access Highly Accessed Research article

Gaussian graphical modeling reconstructs pathway reactions from high-throughput metabolomics data

Jan Krumsiek1, Karsten Suhre12, Thomas Illig3, Jerzy Adamski4 and Fabian J Theis15*

Author Affiliations

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

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BMC Systems Biology 2011, 5:21  doi:10.1186/1752-0509-5-21

Published: 31 January 2011

Additional 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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