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Figure 3 | BMC Bioinformatics

Figure 3

From: Non-specific filtering of beta-distributed data

Figure 3

Misclassification rates of RPMM cluster analysis using top filtered features for 7 filtering methods (2 groups, 200 informative features out of 2000, 200 samples, 100 simulated data sets). Average 100 simulations of misclassification rates from a cluster analysis performed using RPMM, for the top 100, 200, or 400 features of seven different filtering methods under different sample size ratios. A*. Sample size ratio 9:1 (non-CIMP/CIMP); B*. Sample size ratio 1:9; C* &D**. Sample size ratio 1:1. For A*-C*: informative features have effective size smaller than 1; For D**: informative features have effective size smaller than 0.5.

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