This article is part of the supplement: Probabilistic Modeling and Machine Learning in Structural and Systems Biology
Research
Learning causal networks from systems biology time course data: an effective model selection procedure for the vector autoregressive process
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* Corresponding author: Rainer Opgen-Rhein opgen-rhein@stat.uni-muenchen.de
1 Department of Statistics, Ludwig-Maximilians-Universität München, Ludwigstraße 33, D-80539 München, Germany
2 Institute for Medical Informatics, Statistics and Epidemiology (IMISE), University of Leipzig, Härtelstr. 16-18, 04107 Leipzig, Germany
BMC Bioinformatics 2007, 8(Suppl 2):S3 doi:10.1186/1471-2105-8-S2-S3
Published: 3 May 2007Additional files
Additional File 1:
This PDF file contains a multi-page table containing the annotation data (probe IDs, gene names, description) for the 92 genes displayed in the VAR network of Figure 2.
Format: PDF Size: 38KB Download file
This file can be viewed with: Adobe Acrobat Reader
