Table S3. Data for pCRMeval for 29 training sets on a semi-continuous scale. Values for training set sensitivity, REDfly recovery, REDfly recall, expression pattern precision and expression pattern recall are reported. (XLSX 276 kb
Table S1. Performance of machine learning approaches on depression training dataset (1993 records). ...
Table S4. Parsimonious gene sets of MCC performance. The file provides all the gene sets of four fil...
Detailed description of the classifiers. In the Additional file we provide a description of each cla...
Table S2. Data for pCRMeval for 29 training sets at a fixed cutoff. Values for training set sensitiv...
Table S5. Data for pCRMeval for 29 training sets with varying offsets on a semi-continuous scale. Va...
Table S4. Data for pCRMeval for 29 training sets with varying offsets at a fixed cutoff. Values for ...
Figure S1. Performance evaluation of SCRMshaw using pCRMeval on a semi-continuous scale. Performance...
Figure S3. Results of SCRMshaw assessment by pCRMeval on a semi-continuous scale. (i) Training set s...
Figure S2. Results of SCRMshaw assessment by pCRMeval using a fixed cutoff. (i) Training set sensiti...
Table S1. Sizes of expression-pattern annotated CRM groups in REDfly. (XLSX 13 kb
Figure S4. Scaffold length distribution of real vs simulated genome. (PDF 494 kb
Results obtained by reanalyzing real microarray datasets (1 table). The table in the Additional file...
Table S7. Estimated accuracy and standard deviation of the RFE procedure. Table S8. Accuracy and Kap...
Table S3. Predicted breast cancer driver genes by the seven permutation models. Table S4. Predicted ...
Supplemental tables and figures of data set simulation parameters and performance measures for all m...
Table S1. Performance of machine learning approaches on depression training dataset (1993 records). ...
Table S4. Parsimonious gene sets of MCC performance. The file provides all the gene sets of four fil...
Detailed description of the classifiers. In the Additional file we provide a description of each cla...
Table S2. Data for pCRMeval for 29 training sets at a fixed cutoff. Values for training set sensitiv...
Table S5. Data for pCRMeval for 29 training sets with varying offsets on a semi-continuous scale. Va...
Table S4. Data for pCRMeval for 29 training sets with varying offsets at a fixed cutoff. Values for ...
Figure S1. Performance evaluation of SCRMshaw using pCRMeval on a semi-continuous scale. Performance...
Figure S3. Results of SCRMshaw assessment by pCRMeval on a semi-continuous scale. (i) Training set s...
Figure S2. Results of SCRMshaw assessment by pCRMeval using a fixed cutoff. (i) Training set sensiti...
Table S1. Sizes of expression-pattern annotated CRM groups in REDfly. (XLSX 13 kb
Figure S4. Scaffold length distribution of real vs simulated genome. (PDF 494 kb
Results obtained by reanalyzing real microarray datasets (1 table). The table in the Additional file...
Table S7. Estimated accuracy and standard deviation of the RFE procedure. Table S8. Accuracy and Kap...
Table S3. Predicted breast cancer driver genes by the seven permutation models. Table S4. Predicted ...
Supplemental tables and figures of data set simulation parameters and performance measures for all m...
Table S1. Performance of machine learning approaches on depression training dataset (1993 records). ...
Table S4. Parsimonious gene sets of MCC performance. The file provides all the gene sets of four fil...
Detailed description of the classifiers. In the Additional file we provide a description of each cla...
DOI
Add to ORKG