<p>(a) All-FabD, (b) TgFabD, (c) PfFabD based on dG, ElecStat, VDW Y-response variables, respectively are shown. The goodness of fit between the observed and predicted values are indicated by the regression lines for training (red) and test (black) sets.</p
Correlation circle of partial least squares (PLS) regression, illustrating relationships between pre...
The top row demonstrates ground truth (x-axis) vs. estimated (y-axis) parameters. The dashed line al...
<p>The dashed line represents a one-to-one relationship between subject behavior and model predictio...
<p>(A) Population prediction versus observed concentration. (B) Individual prediction versus observe...
<p>(<b>A</b>) Construction of the PLS model. Inputs matrix <b>X</b> (20×60) regressed against the ou...
<p>(A) Plot of predicted QTc vs. actual (measured) QTc from the PLS model using the cross-validation...
The solid diagonal line indicates where values should lie for a perfect correlation between predicti...
<p>The near 45 degree line of correlating plot shows the acceptable correlation between predicted an...
<p>The linear correlation diagram between the predicted values and experimental values of ln(LC) for...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>The left panel shows three datasets of temporal signals representing predictor variables at , a...
Mean weights are plotted with error bars representing the standard error of each group. The 95% conf...
<p><b>). </b><b>A</b>: Correlation between the 20 (4 variants×5 dates) observed mean frequencies of ...
<p>PRED = Population prediction, IPRED = Individual prediction, DV = Observed CD4 cell counts, WRES ...
<p>Correlation plots between the measured outputs and predicted outputs with NGF (<b>A</b>), PACAP (...
Correlation circle of partial least squares (PLS) regression, illustrating relationships between pre...
The top row demonstrates ground truth (x-axis) vs. estimated (y-axis) parameters. The dashed line al...
<p>The dashed line represents a one-to-one relationship between subject behavior and model predictio...
<p>(A) Population prediction versus observed concentration. (B) Individual prediction versus observe...
<p>(<b>A</b>) Construction of the PLS model. Inputs matrix <b>X</b> (20×60) regressed against the ou...
<p>(A) Plot of predicted QTc vs. actual (measured) QTc from the PLS model using the cross-validation...
The solid diagonal line indicates where values should lie for a perfect correlation between predicti...
<p>The near 45 degree line of correlating plot shows the acceptable correlation between predicted an...
<p>The linear correlation diagram between the predicted values and experimental values of ln(LC) for...
Results of sensitivity analyses across different splits of the training and test sets. We created 1,...
<p>The left panel shows three datasets of temporal signals representing predictor variables at , a...
Mean weights are plotted with error bars representing the standard error of each group. The 95% conf...
<p><b>). </b><b>A</b>: Correlation between the 20 (4 variants×5 dates) observed mean frequencies of ...
<p>PRED = Population prediction, IPRED = Individual prediction, DV = Observed CD4 cell counts, WRES ...
<p>Correlation plots between the measured outputs and predicted outputs with NGF (<b>A</b>), PACAP (...
Correlation circle of partial least squares (PLS) regression, illustrating relationships between pre...
The top row demonstrates ground truth (x-axis) vs. estimated (y-axis) parameters. The dashed line al...
<p>The dashed line represents a one-to-one relationship between subject behavior and model predictio...
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