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An Algorithm for Finding Biologically Significant Features in Microarray Data Based on A Priori Manifold Learning

Figure 4

ROC curves for gene-by-gene 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 gene-by-gene affinity matrix and the k-NN classifier.

Figure 4

doi: https://doi.org/10.1371/journal.pone.0090562.g004