An Algorithm for Finding Biologically Significant Features in Microarray Data Based on A Priori Manifold Learning
Figure 5
ROC curves for sample-by-sample affinity matrices using k-Nearest Neighbours.
ROC curves found for a priori manifold learning (blue) compared with PCA (Green) and Isomap (Red) computed using the sample-by-sample affinity matrix and the k-NN classifier.