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Open Access Open Badges Methodology article

Accelerated search for biomolecular network models to interpret high-throughput experimental data

Suman Datta and Bahrad A Sokhansanj*

Author Affiliations

School of Biomedical Engineering, Science and Health Systems, Drexel University, 3141 Chestnut St., Philadelphia, PA 19104, USA

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BMC Bioinformatics 2007, 8:258  doi:10.1186/1471-2105-8-258

Published: 18 July 2007

Additional files

Additional file 1:

Supplementary Table 1. Fuzzy rule sets obtained (using the TT3 data set) for each cell cycle gene, showing each run of the evoluationary algorithm (with a different random number generator seed). Supplementary Table 2. Rule sets obtained for each gene (a) using the TT3 data set (lowest error ("best") and consensus of algorithm runs, (b) using the TT2 data set, and (c) using the Shake data set (with only the consensus shown for the latter two). Supplementary Table 3. Errors and probabilities of finding rule sets by chance for each data set, applying the rule sets shown in Supplementary Table 2. Data Sheets. In addition, there are sheets with the data sets described in the paper, containing fuzzified, arctan(log)-transformed gene expression ratios for the human cell cycle marker genes (Table 2).

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