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Table 5 Power calculations using functions in RNASeqPower

From: Differentially expressed genes from RNA-Seq and functional enrichment results are affected by the choice of single-end versus paired-end reads and stranded versus non-stranded protocols

 

Deptha

PE CVb

SE CVc

FCd

PE Power (n = 3)e

SE Power (n = 3)f

PE Power (n = 5)e

SE Power (n = 5)f

Exp 1

10

0.2074

0.2069

1.5

0.2589

0.2592

0.3956

0.3961

    

2

0.6121

0.6127

0.8259

0.8264

Exp 2

10

0.1052

0.1007

1.5

0.3192

0.3215

0.4855

0.4887

    

2

0.7215

0.7251

0.9080

0.9103

Exp 3

10

0.099

0.0907

1.5

0.3223

0.3262

0.4899

0.4955

    

2

0.7264

0.7325

0.9111

0.9149

Exp 4

10

0.0264

0.0256

1.5

0.3464

0.3465

0.5241

0.5242

    

2

0.7628

0.7630

0.9324

0.9325

  1. aAverage depth of coverage
  2. bBiological coefficient of variation derived from the estimateCommonDispersion function of edgeR for the PE data
  3. cBiological coefficient of variation derived from the estimateCommonDispersion function of edgeR for the SE data
  4. dFold change
  5. eThe power calculations performed for the PE data using the RNASeqPower package
  6. fThe power calculations performed for the SE data using the RNASeqPower package