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Figure 3 | BMC Bioinformatics

Figure 3

From: LS-NMF: A modified non-negative matrix factorization algorithm utilizing uncertainty estimates

Figure 3

ROC Analysis of Yeast Cell Cycle and Rosetta Data Sets. ROC analysis for NMF and LS-NMF for the yeast cell cycle data is summarized in sections a and b, while section c shows the results for the Rosetta Compendium analysis, where variance estimates are available. In a, the total area under the ROC curves is shown for LS-NMF (solid line) and NMF (dashed line). In b, LS-NMF and NMF are compared to hierarchical clustering at a single dimensionality (the LS-NMF and NMF curves are superimposed as there is no difference). In c, the areas under the ROC curve for analysis of the Rosetta data are shown for LS-NMF (solid line), NMF (dash-dot line), K-means clustering (dashed line), and NMF on scaled data (C-NMF, dotted line). Here the variance information allows far better results to be obtained, either by scaling or by use of LS-NMF. The advantages of the approach used in LS-NMF are discussed in the text.

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