Ensemble approach to predict specificity determinants: benchmarking and validationNational Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, Maryland, USA
BMC Bioinformatics 2009, 10:207doi:10.1186/1471-2105-10-207
Additional filesAdditional file 1: Ensemble approach to predict specificity determinants: benchmarking and validation. Table listing prediction sensitivities of different methods. Format: DOC Size: 26KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 2: Ensemble approach to predict specificity determinants: benchmarking and validation. Precision-Recall (PR) curves. Format: DOC Size: 61KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 3: Ensemble approach to predict specificity determinants: benchmarking and validation. List of potential subsites identified in validation dataset. Format: DOC Size: 52KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 4: Ensemble approach to predict specificity determinants: benchmarking and validation. Comparison of performance of different methods. Format: DOC Size: 31KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 5: Ensemble approach to predict specificity determinants: benchmarking and validation. Prediction dataset. Format: DOC Size: 29KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 6: Ensemble approach to predict specificity determinants: benchmarking and validation. List of potential subsites predicted in prediction dataset. Format: DOC Size: 33KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 7: Ensemble approach to predict specificity determinants: benchmarking and validation. Spatial distances among the predicted C3 and C2 sites for six families within the prediction dataset. Format: DOC Size: 80KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 8: Ensemble approach to predict specificity determinants: benchmarking and validation. Structural property analysis of potential (C3 and C2 sites) subsites within the prediction dataset. Format: DOC Size: 55KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 9: Ensemble approach to predict specificity determinants: benchmarking and validation. Validation dataset. Format: DOC Size: 72KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 10: Ensemble approach to predict specificity determinants: benchmarking and validation. List of actual subsites. Format: DOC Size: 157KB Download file This file can be viewed with: Microsoft Word Viewer Additional file 11: Ensemble approach to predict specificity determinants: benchmarking and validation. Additional information about validation dataset. Format: DOC Size: 59KB Download file This file can be viewed with: Microsoft Word Viewer |




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