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Table 1 Estimated size and power (no replicates for each condition).

From: Statistical methods on detecting differentially expressed genes for RNA-seq data

Lambda1

Lambda2

LRT

Cond

Wald

Wald-Log

VST

Fisher

5

5

0.0128

0.0002

0.0002

0.0185

0.0011

0.0002

 

9

0.0199

0.0066

0.0074

0.0522

0.0176

0.0066

 

13

0.0842

0.0492

0.0550

0.1737

0.0916

0.0492

 

17

0.2484

0.1877

0.1964

0.3976

0.2626

0.1877

 

21

0.4903

0.4248

0.4358

0.6269

0.4981

0.4248

 

25

0.7146

0.6547

0.6685

0.8077

0.7168

0.6547

10

10

0.0013

0.0004

0.0005

0.0041

0.0013

0.0004

 

15

0.0114

0.0082

0.0089

0.0256

0.0124

0.0082

 

20

0.0729

0.0504

0.0571

0.1190

0.0737

0.0504

 

25

0.2433

0.1863

0.2110

0.3217

0.2435

0.1863

 

30

0.4848

0.4111

0.4460

0.5746

0.4848

0.4111

 

35

0.7177

0.6625

0.6900

0.7859

0.7177

0.6625

 

40

0.8750

0.8414

0.8599

0.9102

0.8750

0.8414

15

15

0.0012

0.0007

0.0009

0.0030

0.0012

0.0007

 

20

0.0075

0.0047

0.0052

0.0140

0.0075

0.0047

 

25

0.0456

0.0314

0.0377

0.0689

0.0456

0.0314

 

30

0.1483

0.1130

0.1305

0.1990

0.1483

0.1130

 

35

0.3422

0.2868

0.3167

0.4121

0.3422

0.2868

 

40

0.5692

0.5046

0.5459

0.6266

0.5692

0.5046

 

45

0.7563

0.7047

0.7393

0.8002

0.7563

0.7047

 

50

0.8907

0.8569

0.8796

0.9096

0.8907

0.8569

30

30

0.0011

0.0007

0.0011

0.0019

0.0011

0.0007

 

40

0.0180

0.0125

0.0163

0.0224

0.0180

0.0125

 

50

0.1464

0.1167

0.1370

0.1704

0.1464

0.1167

 

60

0.4776

0.4292

0.4620

0.5109

0.4777

0.4292

 

70

0.7840

0.7526

0.7750

0.8145

0.7848

0.7526

 

80

0.9421

0.9299

0.9390

0.9514

0.9423

0.9299

  1. Estimated size and power from each method for detecting the difference of two Poisson means. There are no replicates for each condition. The Poisson means for the first condition are 5, 10, 15, or 30. The second Poisson means are the same as (for size) or larger than (for power) the first ones. The nominal size (significance level) is 10-3 and 10,000 runs are used for each setting.