Skip to main content
. Author manuscript; available in PMC: 2018 Aug 8.
Published in final edited form as: Nat Methods. 2018 Apr 3;15(4):233–234. doi: 10.1038/nmeth.4642

Figure 2.

Figure 2

Analysis of gene ranking by classical inference and ML. (a) Unadjusted log-scaled P values from statistical differential expression analysis as a function of effect size, measured by fold change in expression. (b) Log-scaled P values from a as a function of gene importance from random forest classification. In a and b, red circles identify the ten differentially expressed genes from Figure 1; the remaining genes are indicated by open circles. (c) Distribution of the number of dysregulated genes correctly identified in 1,000 simulations by inference (gray fill) and random forest (black line).