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. 2011 Apr 27;39(13):e86. doi: 10.1093/nar/gkr241

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Published by Oxford University Press 2011.

This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.5), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 3. — Power comparison between the variance and the PCA-based filters given a fixed number of filter-passing genes. By adjusting the threshold value of the ranked overall gene-level variances, the same number of genes as those passing the PVAC filter (n = 3 848) were chosen for statistical testing. The power comparison through ROC curves is based on the same subset of data (with n = 3) as shown in Figure 2, right hand side. For comparison, a random set with the same number of probe sets were drawn and compared to those from the variance and PVAC filters.