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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.
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BMC Genomics

ISSN: 1471-2164

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