The y value is the mean average error from NCNN model on each target gene; the x value is the mean average error from MLP model on each target gene. Each dot below the diagonal means that NCNN has lower prediction error on this gene than the comparing method.</p
<p>The genetic differentiation between populations was calculated as [F<sub>ST</sub> / (1-F<sub>ST</...
<p>“Lasso” represents model (2), “Linear low-rank” represents model (3), and “Nonlinear low-rank” re...
<p>Gene sets identified by only one of the three methods (CoGA, GSCA, and GSNCA) and the correspondi...
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
MAE comparison between D-GEX and NCNN model in the prediction of GEO data when varying the number of...
<p>Comparison of mean -errors at the genus level (smaller values are better).</p
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>Comparison of the global fitting error for all of the tested datasets under different grid nodes....
Comparison of peak prediction error at different forecasting horizons (metrics: magnitude error).</p
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
<p>Values were obtained by calculating an average comprehensive ranking for the genes in the gene gr...
<p>Averaged over 100 simulated data in <i>Scenario</i> 1 for two set of gene effect sizes . The top ...
<p>The genetic differentiation between populations was calculated as [F<sub>ST</sub> / (1-F<sub>ST</...
<p>“Lasso” represents model (2), “Linear low-rank” represents model (3), and “Nonlinear low-rank” re...
<p>Gene sets identified by only one of the three methods (CoGA, GSCA, and GSNCA) and the correspondi...
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
MAE comparison between D-GEX and NCNN model in the prediction of GEO data when varying the number of...
<p>Comparison of mean -errors at the genus level (smaller values are better).</p
<p>Comparison of prediction accuracy on four binary classification datasets by varying the number of...
<p>Comparison of prediction accuracy on four multiclass classification datasets by varying the numbe...
<p>Comparison of the global fitting error for all of the tested datasets under different grid nodes....
Comparison of peak prediction error at different forecasting horizons (metrics: magnitude error).</p
<p>The prediction errors from the MS and SS models are plotted as circles and triangles, respectivel...
<p>Values were obtained by calculating an average comprehensive ranking for the genes in the gene gr...
<p>Averaged over 100 simulated data in <i>Scenario</i> 1 for two set of gene effect sizes . The top ...
<p>The genetic differentiation between populations was calculated as [F<sub>ST</sub> / (1-F<sub>ST</...
<p>“Lasso” represents model (2), “Linear low-rank” represents model (3), and “Nonlinear low-rank” re...
<p>Gene sets identified by only one of the three methods (CoGA, GSCA, and GSNCA) and the correspondi...