  Research articleIdentification of gene interactions associated with disease from gene expression data using synergy networksJohn Watkinson1 1Center for Computational Biology and Bioinformatics and Department of Electrical Engineering, Columbia University, 500 West 120th Street, New York, NY 10027, USA 2Department of Statistics, Columbia University, 1255 Amsterdam Avenue, New York, NY 10027, USA
BMC Systems Biology 2008, 2:10doi:10.1186/1752-0509-2-10
Additional filesAdditional file 1: Example with simulated dataset. Comparison between using synergy networks and traditional network inference techniques on a simulated dataset. Format: PDF Size: 322KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 2: Synergy values in validation dataset. Results of applying the synergy network algorithm on an independent dataset used for validation. Format: PDF Size: 20KB Download file This file can be viewed with: Adobe Acrobat Reader Additional file 3: Software for evaluating entropy and synergy. MATLAB scripts are provided for evaluating conditional entropy and synergy from gene expression data and a corresponding phenotype indicator. Format: PDF Size: 21KB Download file This file can be viewed with: Adobe Acrobat Reader |
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