Gene regulatory networks modelling using a dynamic evolutionary hybrid
1 Institute of Molecular Biology, Genetics and Biotechnology, Biomedical Research Foundation, Academy of Athens, 4 Soranou Efesiou Street, Athens 11527, Greece
2 Harrington Department of Bioengineering, Arizona State University, Tempe, AZ, USA
BMC Bioinformatics 2010, 11:140 doi:10.1186/1471-2105-11-140Published: 18 March 2010
Additional file 1:
In this file there are supplementary text, tables and figures describing full results of the proposed method on the three subsets of genes based on cdc28 dataset as well as results for the alpha datasets not presented in the main manuscript. Additionally there are descriptions on the parameter values and intermediate results for the ENFRN models, as well as computational times for the methods used.
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