Skip to main content

Table 3 AUCs for 1-sided test of up-regulation. This table shows AUC values for different combinations of summarization and DE detection methods. The 10 highest AUC values are highlighted in bold. Note that the PPLR method is only applicable to summarization methods that give uncertainty estimates as well as mean expression levels for each probeset. These results were calculated using only the equal spike-ins as true negatives, and all spike-ins with FC > 1 as true positives. A post-summarization loess normalization using the equal-valued spike-ins was used. The results in this table are for 1-sided tests of up-regulation.

From: A comprehensive re-analysis of the Golden Spike data: Towards a benchmark for differential expression methods

 

limma

FC

t-test

Cyber-T

PPLR

mmgMOS

0.940

0.920

0.938

0.949

0.951

MAS5

0.924

0.908

0.921

0.934

 

CP

0.940

0.928

0.935

0.948

0.932

PLIER

0.934

0.929

0.930

0.941

 

RMA

0.929

0.932

0.914

0.932

0.917

GCRMA

0.926

0.946

0.921

0.944

 

DFW

0.817

0.918

0.794

0.830

0.912

MBEI

0.928

0.928

0.920

0.934

0.915

FARMS

0.883

0.938

0.847

0.908

0.893