Top row (A-D): ROC curve for edge detection for the settings of S1-S4; Bottom row (E-H): SSE for edge weights estimation for the settings of S1-S4. Red line: CFGL, Green line: FGL, Blue line: GL.</p
<p>For means of readability the curves of A and B were smoothed using a moving average. The mean val...
<p>In blue, performance using the combined subset classifier approach (<i>C</i><sub><i>S</i></sub>)....
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
Top and bottom rows respectively correspond to the ROC curves in scenario (S3) and scenario (S4). Th...
Top and bottom rows respectively correspond to the SSE of methods in scenario (S3) and scenario (S4)...
Top and bottom rows respectively correspond to the precision-recall curves in scenario (S1) and scen...
Top row corresponds to scenario (S5) which has three conditions, and the next two rows correspond to...
<p>ROC curves illustrating the performance of CSS and CMS methods as contrast and methodological pro...
Comparison of the performance of the models using area under the curve (AUC) of ROC.</p
<p>(A) the ROC curves of GP4Rate and Rate4Site in the realistic simulations; (B) the losses of GP4Ra...
The column of the model utilizing only clinical data from our previous study [6] is included for com...
(a) Quality recognition and calculated simulation results; (b) Damp recognition and calculated simul...
Comparison of model performance using area under the ROC curve (AUROC), area under the precision-rec...
Top row corresponds to the run-times in seconds of different methods in scenario (S1) and scenario (...
<p>Solid line (<sup>____</sup>) represents ROC curve for simulation model based on 6 genotyped SNPs ...
<p>For means of readability the curves of A and B were smoothed using a moving average. The mean val...
<p>In blue, performance using the combined subset classifier approach (<i>C</i><sub><i>S</i></sub>)....
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
Top and bottom rows respectively correspond to the ROC curves in scenario (S3) and scenario (S4). Th...
Top and bottom rows respectively correspond to the SSE of methods in scenario (S3) and scenario (S4)...
Top and bottom rows respectively correspond to the precision-recall curves in scenario (S1) and scen...
Top row corresponds to scenario (S5) which has three conditions, and the next two rows correspond to...
<p>ROC curves illustrating the performance of CSS and CMS methods as contrast and methodological pro...
Comparison of the performance of the models using area under the curve (AUC) of ROC.</p
<p>(A) the ROC curves of GP4Rate and Rate4Site in the realistic simulations; (B) the losses of GP4Ra...
The column of the model utilizing only clinical data from our previous study [6] is included for com...
(a) Quality recognition and calculated simulation results; (b) Damp recognition and calculated simul...
Comparison of model performance using area under the ROC curve (AUROC), area under the precision-rec...
Top row corresponds to the run-times in seconds of different methods in scenario (S1) and scenario (...
<p>Solid line (<sup>____</sup>) represents ROC curve for simulation model based on 6 genotyped SNPs ...
<p>For means of readability the curves of A and B were smoothed using a moving average. The mean val...
<p>In blue, performance using the combined subset classifier approach (<i>C</i><sub><i>S</i></sub>)....
<p>(A) <i>n</i><sub>1</sub> = <i>n</i><sub>2</sub> = 25, μ = 2, <i>k</i> = 3. (B) <i>n</i><sub>1</su...
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