<p>ROC curves found for <i>a priori</i> manifold learning (blue) compared with PCA (Green) and Isomap (Red) computed using the gene-by-gene affinity matrix and the <i>k</i>-NN classifier.</p
<p>The results of 10-fold cross-validation on the dataset using gene-by-gene affinity matrices for P...
<p>The ROC curve of the computational method based on the tetrahedron, HOG and Gaussian RBF neural n...
<p>ROC curve analysis for evaluating the effectiveness of the selected experiments at improving the ...
<p>ROC curves found for <i>a priori</i> manifold learning (blue) compared with PCA (Green) and Isoma...
<p>ROC curves found for <i>a priori</i> manifold learning (blue) compared with PCA (Green) and Isoma...
<p>ROC curves found for <i>a priori</i> manifold learning (blue) compared with PCA (Green) and Isoma...
<p>ROC curves found for <i>a priori</i> manifold learning (blue) compared with PCA (Green) and Isoma...
<p>The Dunn Index found using <i>a priori</i> manifold learning learning (Blue) compared with PCA (G...
<p>The results of 10-fold cross-validation on the dataset using gene-by-gene affinity matrices for P...
<p>The colors of the lines correspond to the six reference genome sets (ALL, BAAC, BAS, BAC, GAMMA a...
<p>(A) The ROC curve for FLN. (B) The ROC curve for FLNhm. (C) The ROC curve for PPI network. (D) Th...
<p>The colors of the lines correspond to the six reference genome sets (ALL, BAAC, BAS, BAC, GAMMA a...
<p>(A) ROC curves for Gram-negative dataset. (B) ROC curves for Gram-positive dataset. (C) ROC curve...
<p>The ROC curves of the computational method based on the Z-curve, HOG and MLP neural network.</p
<p>The ROC curves of the computational method based on the Z-curve, HOG and MLP neural network.</p
<p>The results of 10-fold cross-validation on the dataset using gene-by-gene affinity matrices for P...
<p>The ROC curve of the computational method based on the tetrahedron, HOG and Gaussian RBF neural n...
<p>ROC curve analysis for evaluating the effectiveness of the selected experiments at improving the ...
<p>ROC curves found for <i>a priori</i> manifold learning (blue) compared with PCA (Green) and Isoma...
<p>ROC curves found for <i>a priori</i> manifold learning (blue) compared with PCA (Green) and Isoma...
<p>ROC curves found for <i>a priori</i> manifold learning (blue) compared with PCA (Green) and Isoma...
<p>ROC curves found for <i>a priori</i> manifold learning (blue) compared with PCA (Green) and Isoma...
<p>The Dunn Index found using <i>a priori</i> manifold learning learning (Blue) compared with PCA (G...
<p>The results of 10-fold cross-validation on the dataset using gene-by-gene affinity matrices for P...
<p>The colors of the lines correspond to the six reference genome sets (ALL, BAAC, BAS, BAC, GAMMA a...
<p>(A) The ROC curve for FLN. (B) The ROC curve for FLNhm. (C) The ROC curve for PPI network. (D) Th...
<p>The colors of the lines correspond to the six reference genome sets (ALL, BAAC, BAS, BAC, GAMMA a...
<p>(A) ROC curves for Gram-negative dataset. (B) ROC curves for Gram-positive dataset. (C) ROC curve...
<p>The ROC curves of the computational method based on the Z-curve, HOG and MLP neural network.</p
<p>The ROC curves of the computational method based on the Z-curve, HOG and MLP neural network.</p
<p>The results of 10-fold cross-validation on the dataset using gene-by-gene affinity matrices for P...
<p>The ROC curve of the computational method based on the tetrahedron, HOG and Gaussian RBF neural n...
<p>ROC curve analysis for evaluating the effectiveness of the selected experiments at improving the ...
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