Figure 2
From: Adaptive filtering of microarray gene expression data based on Gaussian mixture decomposition
Comparison of different filtering methods for simulated data. Upper panel (A): ROC curves (computed by averaging over the 50 simulations) corresponding to different filtering methods in the simulated dataset. The proportion between informative and non-informative genes was set to 85% EEGs versus 15% DEGs. Lower panel (B): Change of median sensitivity at 5% FDR calculated across 50 iterations, resulting from the change of proportions between EEGs and DEGs from 70% to 95% in the simulated dataset. Different colors correspond to different filtering types of filters: red color is assigned to the filtration in sample variance domain, blue - sample mean, and black - no filtration. Different line styles correspond to different methods: solid line shows the results for adaptive filtering, dashed line - fixed threshold filtering.