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. Author manuscript; available in PMC: 2014 Jul 1.
Published in final edited form as: IEEE/ACM Trans Comput Biol Bioinform. 2013 Jul-Aug;10(4):1080–1085. doi: 10.1109/TCBB.2013.99

Figure 1.

Figure 1

Simulation results. The average AUC of the sensitivity-FDR curve is plotted against the noise level. Higher AUC values indicate better performance. Every column represents a situation. Column 1: all features in a true cluster are linearly/nonlinearly linked to a latent factor. Column 2: features in each cluster are constructed using the 1-dependent procedure. Column 3: features in each cluster are constructed using the 2-dependent procedure. Upper row: true cluster size 20; lower row: true cluster size 40.