<p>Note: The first, the second and the third rows respectively represents the correlation coefficient (CC<sub>TM</sub>), Spearman's correlation coefficient () and the average TM-score loss (TM<sub>loss</sub>) between TM<sub>method</sub> (TM-score of the model selected by a QA method) and TM<sub>best</sub> (TM-score of the most native-like structure among decoys). The final row represents the average correlation coefficient between the predicted ranking and the actual ranking (CC<sub>Rank</sub>) of 95 CASP10 targets. Bold fonts denote the best result.</p><p>Performance of various scoring functions in predicting the quality of the model on CASP10 targets for a blind test.</p
<p>The correlations are based on cross-validations, where the last column stands for an overall calc...
<p>Abbreviations: TP – number of true positives, FN-false negatives, FP-false positives, TN-true neg...
Our comparative assessment of scoring functions (CASF) benchmark is created to provide an objective ...
<p>Note: The first, the second and the third rows respectively represent the correlation coefficient...
<p>Note: The first column represents the method name. The second, the third and the fourth columns r...
<p>Three plots on the left show the correlation between the real TM-score of models built by <i>e</i...
<p>AR: Accuracy rate, SE: Sensitivity, SP: Specificity, PPV: Positive predictive value, NPV: Negativ...
Several advantages to the use of factor scores as independent variables in a multiple regression equ...
<p><sup>a</sup>HumVar trained PolyPhen-2. The performance of this version was better than for HumDiv...
<p>Performance results for the top 5 WEKA models for both CM1 and Welch's -test scores, evaluated in...
<p>The Spearman correlation coefficient is 0.95, ample proof of agreement on the ranking most of tim...
The article presents our evaluation of the predictions submitted to the model quality assessment (QA...
<p>TM-score of the best server model (TM<sub>best</sub>) versus TM-score of the model selected by RF...
The article presents our evaluation of the predictions submitted to the model quality assessment (QA...
The article presents our evaluation of the predictions submitted to the model quality assessment (QA...
<p>The correlations are based on cross-validations, where the last column stands for an overall calc...
<p>Abbreviations: TP – number of true positives, FN-false negatives, FP-false positives, TN-true neg...
Our comparative assessment of scoring functions (CASF) benchmark is created to provide an objective ...
<p>Note: The first, the second and the third rows respectively represent the correlation coefficient...
<p>Note: The first column represents the method name. The second, the third and the fourth columns r...
<p>Three plots on the left show the correlation between the real TM-score of models built by <i>e</i...
<p>AR: Accuracy rate, SE: Sensitivity, SP: Specificity, PPV: Positive predictive value, NPV: Negativ...
Several advantages to the use of factor scores as independent variables in a multiple regression equ...
<p><sup>a</sup>HumVar trained PolyPhen-2. The performance of this version was better than for HumDiv...
<p>Performance results for the top 5 WEKA models for both CM1 and Welch's -test scores, evaluated in...
<p>The Spearman correlation coefficient is 0.95, ample proof of agreement on the ranking most of tim...
The article presents our evaluation of the predictions submitted to the model quality assessment (QA...
<p>TM-score of the best server model (TM<sub>best</sub>) versus TM-score of the model selected by RF...
The article presents our evaluation of the predictions submitted to the model quality assessment (QA...
The article presents our evaluation of the predictions submitted to the model quality assessment (QA...
<p>The correlations are based on cross-validations, where the last column stands for an overall calc...
<p>Abbreviations: TP – number of true positives, FN-false negatives, FP-false positives, TN-true neg...
Our comparative assessment of scoring functions (CASF) benchmark is created to provide an objective ...