In these plots, we compare the performances from our best models to the baseline predictive performances using only the input sequence (i.e. model predictions with all parameter values of α set to 0). The error bars show bootstrap standard errors.</p
A: α = 0.3; β = ±log(1.5). B: α = 0.3; β = ±log(1.75). C: α = 0.5; β = ±log(1.5). D: α = 0.5; β = ±l...
<p>We present as a parallel plot the bootstrapped median RMSE for stabilizing and destabilizing muta...
<div><p>(A) Sequence effect on false-positive (thick line) and false-negative (thin line) error rate...
<p>Performance of the three strategies and the null model. The gray lines represent the performances...
<p>(A – C) Low-order moments predicted by the model (y-axis) vs. measured in the data (x-axis). Each...
<p>(A) The isolates predicted were not included in the training set, still performance is robust. Ba...
Performance assessment of prediction model based on different criteria; (a) comparison of statistica...
Though the common default maximum likelihood estimator used in structural equa-tion modeling is pred...
The bootstrap method has become a widely used tool applied in diverse areas where results based on a...
<p><i>For all 86 samples in the prediction set, Sensitivity = 87%, Specificity = 90%.</i><sup></sup>...
<p>Dot lines represent 2-fold error, dashed lines represent 3 –fold error and long dash lines repres...
In each matrix, rows represent true conditions and columns represent predicted conditions. The numbe...
Background: A challenge in developing machine learning regression models is that it is difficult to ...
Proceedings : version CDInternational audienceThe validation and the performance of predictive micro...
ROC plots of models trained on amino acid and local and global physical (ALG), and both ALG and tota...
A: α = 0.3; β = ±log(1.5). B: α = 0.3; β = ±log(1.75). C: α = 0.5; β = ±log(1.5). D: α = 0.5; β = ±l...
<p>We present as a parallel plot the bootstrapped median RMSE for stabilizing and destabilizing muta...
<div><p>(A) Sequence effect on false-positive (thick line) and false-negative (thin line) error rate...
<p>Performance of the three strategies and the null model. The gray lines represent the performances...
<p>(A – C) Low-order moments predicted by the model (y-axis) vs. measured in the data (x-axis). Each...
<p>(A) The isolates predicted were not included in the training set, still performance is robust. Ba...
Performance assessment of prediction model based on different criteria; (a) comparison of statistica...
Though the common default maximum likelihood estimator used in structural equa-tion modeling is pred...
The bootstrap method has become a widely used tool applied in diverse areas where results based on a...
<p><i>For all 86 samples in the prediction set, Sensitivity = 87%, Specificity = 90%.</i><sup></sup>...
<p>Dot lines represent 2-fold error, dashed lines represent 3 –fold error and long dash lines repres...
In each matrix, rows represent true conditions and columns represent predicted conditions. The numbe...
Background: A challenge in developing machine learning regression models is that it is difficult to ...
Proceedings : version CDInternational audienceThe validation and the performance of predictive micro...
ROC plots of models trained on amino acid and local and global physical (ALG), and both ALG and tota...
A: α = 0.3; β = ±log(1.5). B: α = 0.3; β = ±log(1.75). C: α = 0.5; β = ±log(1.5). D: α = 0.5; β = ±l...
<p>We present as a parallel plot the bootstrapped median RMSE for stabilizing and destabilizing muta...
<div><p>(A) Sequence effect on false-positive (thick line) and false-negative (thin line) error rate...