<p>The 5-fold CV classification accuracies of the KNN-classifier and SVM-classifier based on six gene selection methods on the SRBCT data.</p
For feature selection using coefficient of variation (CV), the filtering thresholds from left to rig...
The genetic information of any human beings is very helpful in cancer diagnosis. DNA microarray tech...
<p>Class prediction was performed using support vector machines (SVM). The 50 genes from the Koth <i...
<p>The 5-fold CV classification accuracies of the KNN-classifier and SVM-classifier based on six gen...
<p>The 5-fold CV classification accuracies of the KNN-classifier and SVM-classifier based on six gen...
<p>The 5-fold CV classification accuracies of the ELM classifier based on four PSO-based gene select...
<p>The classification model is built on the 7 genes. The optimal model was selected and classificati...
Venn diagrams of genes selected by the four gene selection algorithms using the KNN classifier on (A...
<p>Comparison of accuracy between standard KNN classification using all differentially expressed gen...
Further comparison for other datasets. Table S1. Average performance in KNN and SVM classifiers of D...
<p>Classification accuracy of SVM algorithm trained on topology indices of parenclictic networks, al...
<p>10-fold CV prediction accuracy of eight tumor microarray datasets using different classification ...
<p>Prediction accuracy on three different classification tasks of CC samples of an SVM classifier us...
A multiclass sequential feature selection and classification (mk-SS) method has been examined using ...
<p>Selected classification results of KNN, SVM and Decision Trees for the 3 sets of promoters of dat...
For feature selection using coefficient of variation (CV), the filtering thresholds from left to rig...
The genetic information of any human beings is very helpful in cancer diagnosis. DNA microarray tech...
<p>Class prediction was performed using support vector machines (SVM). The 50 genes from the Koth <i...
<p>The 5-fold CV classification accuracies of the KNN-classifier and SVM-classifier based on six gen...
<p>The 5-fold CV classification accuracies of the KNN-classifier and SVM-classifier based on six gen...
<p>The 5-fold CV classification accuracies of the ELM classifier based on four PSO-based gene select...
<p>The classification model is built on the 7 genes. The optimal model was selected and classificati...
Venn diagrams of genes selected by the four gene selection algorithms using the KNN classifier on (A...
<p>Comparison of accuracy between standard KNN classification using all differentially expressed gen...
Further comparison for other datasets. Table S1. Average performance in KNN and SVM classifiers of D...
<p>Classification accuracy of SVM algorithm trained on topology indices of parenclictic networks, al...
<p>10-fold CV prediction accuracy of eight tumor microarray datasets using different classification ...
<p>Prediction accuracy on three different classification tasks of CC samples of an SVM classifier us...
A multiclass sequential feature selection and classification (mk-SS) method has been examined using ...
<p>Selected classification results of KNN, SVM and Decision Trees for the 3 sets of promoters of dat...
For feature selection using coefficient of variation (CV), the filtering thresholds from left to rig...
The genetic information of any human beings is very helpful in cancer diagnosis. DNA microarray tech...
<p>Class prediction was performed using support vector machines (SVM). The 50 genes from the Koth <i...
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