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Table 1 Precision, sensitivity and F-score for Simulation 1.

From: LFCseq: a nonparametric approach for differential expression analysis of RNA-seq data

Methods PRE SEN FS PRE SEN FS PRE SEN FS
  |A|=|B|=2 |A|=|B|=5 |A|=|B|=8
LFCseq 0.88 0.42 0.57 0.93 0.59 0.72 0.93 0.68 0.78
NOISeq 0.91 0.29 0.44 1.00 0.29 0.45 1.00 0.29 0.45
SAMseq NA 0.00 NA 0.96 0.37 0.53 0.96 0.62 0.75
DESeq 0.98 0.20 0.34 0.99 0.47 0.63 0.98 0.58 0.73
Edger 0.96 0.32 0.48 0.94 0.55 0.70 0.93 0.63 0.75
sSeq NA 0.01 NA 0.97 0.52 0.68 0.94 0.63 0.76
EBSeq 0.72 0.37 0.49 0.94 0.46 0.62 0.97 0.53 0.69
  1. The numbers of replicates per condition are 2, 5 and 8, respectively. The highest precision, sensitivity and F-scores achieved are highlighted in bold. The corresponding results obtained in Simulation 2 can be found in Additional file 1.