Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

< Back to Article

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

Figure 6

ROC curves for gene-by-gene affinity matrices using Support Vector Machines.

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 SVM classifier.

Figure 6

doi: https://doi.org/10.1371/journal.pone.0090562.g006