Weighted F scores are reported on the validation set (20% HumVD-train) for all algorithms. ‘Sequence’ refer to sequence-based features (PSIC, Nobs, MinDJxn, CodPos and SeqCons); ‘Structure’ refers to structure-based features (KDmean, RSAmax, nRSA, nNum, Bstddev, nB, nKD, nSC, nBinding, Binding, Mapreg); ‘Str no Neigh’ refers to structure-based features without neighbour information (KDmean, RSAmax, Bstddev, Binding, Mapreg); ‘Seq + Str’ refers to all sixteen sequence and structure features listed above; ‘All + mutation’ refers to all prior features listed above and features based on difference between wild-type listed in S1 Table. The boldface numbers highlights top two weighed F scores for each feature sets.</p
<p>The number of predicted phenotypes and overall prediction rates are given for each of the three “...
<p>Empirical significance was obtained from the fraction of permutations that showed a correlation h...
<p>Rank and feature scores obtained after performing feature selection show the structural profile m...
The rank represents the importance of individual features obtained by 5-fold cross validation on the...
<p>Results for feature selection, model selection and validation, using the two selection criteria a...
<p>Results for feature selection, model selection and validation, using the two selection criteria a...
<p>F-scores(in terms of their mean and standard deviation over all folds of cross-validation) of dif...
<p>Each figure reports the results of five iterations of our forward feature function selection algo...
The boxplot is based on the results from 30 times stratified 10-fold cross-validation.</p
*<p>The latter number represents standard deviation from 10 training set;</p>**<p>the lower right co...
<p>The best value of each statistical parameter is written in bold type. TP = true positives; TN = t...
<p>D: dimensionality; AUC: area under ROC curve; Spe: specificity; Pre: precision; Sen: sensitivity;...
<p>Comparison of classification results obtained through 5-fold cross validation with respect to dif...
<p>Three classifiers, Gaussian Naive Bayes (GNB) in panel (a), SVM in panel (b) and sparse MRF in pa...
a<p>The 13 feature schemes were: where <i>k</i> = {<i>1</i>,<i>5</i>,<i>6</i>,<i>7</i>}, <i>g</i> =...
<p>The number of predicted phenotypes and overall prediction rates are given for each of the three “...
<p>Empirical significance was obtained from the fraction of permutations that showed a correlation h...
<p>Rank and feature scores obtained after performing feature selection show the structural profile m...
The rank represents the importance of individual features obtained by 5-fold cross validation on the...
<p>Results for feature selection, model selection and validation, using the two selection criteria a...
<p>Results for feature selection, model selection and validation, using the two selection criteria a...
<p>F-scores(in terms of their mean and standard deviation over all folds of cross-validation) of dif...
<p>Each figure reports the results of five iterations of our forward feature function selection algo...
The boxplot is based on the results from 30 times stratified 10-fold cross-validation.</p
*<p>The latter number represents standard deviation from 10 training set;</p>**<p>the lower right co...
<p>The best value of each statistical parameter is written in bold type. TP = true positives; TN = t...
<p>D: dimensionality; AUC: area under ROC curve; Spe: specificity; Pre: precision; Sen: sensitivity;...
<p>Comparison of classification results obtained through 5-fold cross validation with respect to dif...
<p>Three classifiers, Gaussian Naive Bayes (GNB) in panel (a), SVM in panel (b) and sparse MRF in pa...
a<p>The 13 feature schemes were: where <i>k</i> = {<i>1</i>,<i>5</i>,<i>6</i>,<i>7</i>}, <i>g</i> =...
<p>The number of predicted phenotypes and overall prediction rates are given for each of the three “...
<p>Empirical significance was obtained from the fraction of permutations that showed a correlation h...
<p>Rank and feature scores obtained after performing feature selection show the structural profile m...