PenDA, a rank-based method for personalized differential analysis: Application to lung cancer
Fig 3
Comparison with other methods.
(a) ROC curves on the same simulated dataset (normalized data, 97 control samples) as used in Fig 2 for PenDA, a simple percentile-based method, 2 versions of RankComp and DESeq2. (b) As in (a) but reference pool was composed by only 10 control samples. (c) As in (a) but data were not normalized.