Methodology article
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
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* Corresponding author: Kathleen Marchal kathleen.marchal@biw.kuleuven.be
- † Equal contributors
1 ESAT-SCD, K.U.Leuven, Kasteelpark Arenberg 10, B-3001 Heverlee, Belgium
2 ISLab, Dept. Math. and Comp. Sc., University of Antwerp, Middelheimlaan 1, B-2020 Antwerpen, Belgium
3 Dept. of Genome Analysis, German Research Center for Biotechnology, Mascheroder Weg 1, D-38124 Braunschweig, Germany
4 CMPG, Dept. Microbial and Molecular Systems, K.U.Leuven, Kasteelpark Arenberg 20, B-3001 Heverlee, Belgium
BMC Bioinformatics 2006, 7:43 doi:10.1186/1471-2105-7-43
Published: 26 January 2006Additional files
Additional File 1:
Topological measures, types of random networks and interaction types.
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Additional File 2:
Variation of topological measures in function of the number of nodes.
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Additional File 3:
Software implementation of network generator (Java).
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