Research article
Regularized estimation of large-scale gene association networks using graphical Gaussian models
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* Corresponding author: Nicole Krämer nkraemer@cs.tu-berlin.de
1 Machine Learning/Intelligent Data Analysis Group, Berlin Institute of Technology, Franklinstr 28/29, D-10587 Berlin, Germany
2 Seminar für Statistik, ETH Zurich, CH-8092 Zurich, Switzerland
3 Basel Institute for Clinical Epidemiology and Biostatistics, University Hospital Basel, CH-4031 Basel, Switzerland
4 Department of Statistics, University of Munich, Ludwigstr 33, D-80539 Munich, Germany
5 Computational Molecular Medicine Research Group, Department of Medical Informatics, Biometry and Epidemiology, University of Munich, Marchioninistr 15, 81377 Munich, Germany
BMC Bioinformatics 2009, 10:384 doi:10.1186/1471-2105-10-384
Published: 24 November 2009Additional files
Additional file 1:
Cluster structure. The figure illustrates the two different cluster structure (denoted by "clusters" and "stars") that is used in the simulation study.
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Additional file 2:
Histogram of partial correlations. The figure displays the histogram of the non-zero partial correlations in the simulation study for different density levels.
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Additional file 3:
ROC-curves for a density of 5%, part I. The figures display the ROC-curves for a density of 5%, and for n = 25; 50; 75; 100
Format: PDF Size: 47KB Download file
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Additional file 4:
ROC-curves for a density of 10%, part I. The figures display the ROC-curves for a density of 10%, and for n = 25; 50; 75; 100
Format: PDF Size: 46KB Download file
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Additional file 5:
ROC-curves for a density of 15%, part I. The figures display the ROC-curves for a density of 15%, and for n = 25; 50; 75; 100
Format: PDF Size: 43KB Download file
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Additional file 6:
ROC-curves for a density of 20%, part I. The figures display the ROC-curves for a density of 20%, and for n = 25; 50; 75; 100
Format: PDF Size: 43KB Download file
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Additional file 7:
ROC-curves for a density of 25%, part I. The figures display the ROC-curves for a density of 25%, and for n = 25; 50; 75; 100
Format: PDF Size: 43KB Download file
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Additional file 8:
ROC-curves for a density of 5%, part II. The figures display the ROC-curves for a density of 5%, and for n = 125; 150; 175; 200
Format: PDF Size: 47KB Download file
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Additional file 9:
ROC-curves for a density of 10%, part II. The figures display the ROC-curves for a density of 10%, and for n = 125; 150; 175; 200
Format: PDF Size: 47KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional file 10:
ROC-curves for a density of 15%, part II. The figures display the ROC-curves for a density of 15%, and for n = 125; 150; 175; 200
Format: PDF Size: 46KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional file 11:
ROC-curves for a density of 20%, part II. The figures display the ROC-curves for a density of 20%, and for n = 125; 150; 175; 200
Format: PDF Size: 46KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional file 12:
ROC-curves for a density of 25%, part II. The figures display the ROC-curves for a density of 25%, and for n = 125; 150; 175; 200
Format: PDF Size: 46KB Download file
This file can be viewed with: Adobe Acrobat Reader
Additional file 13:
Simulation. This file contains the R-script to run the simulations that are described in the paper.
Format: R Size: 6KB Download file
Additional file 14:
Real-world. This file contains the R-script to run the real-world studies that are described in the paper.
Format: R Size: 6KB Download file