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Table 1 The number of DE genes and FDRs from each method in the simulation data

From: A novel estimator of between-study variance in random-effects models

Method

Simulation: K=5,N=100,G=2000

 

DE1(p<0.05)

DE2(FDR<0.05)

FDR1

FDR2

DSLD2

642

422

0.0165

0.0236

DSLR2

609

425

0.0164

0.0352

DSL

625

426

0.0258

0.0328

PM

621

422

0.0260

0.0331

FEM

1033

969

0.0361

0.3808

RML

620

423

0.0260

0.0330

SJ

696

483

0.0434

0.0641

  1. Note: K represents the number of studies on the same or related topic; N denotes the number of the samples in every study; G represents the number of genes in every sample; DE1 represents the number of DE genes with p<0.05; DE2 represents the number of DE genes for which FDR<0.05. FDR1 and FDR2 are obtained from Additional file 2; DSLD2 represents the random-effects methods based on \(D_{g}^{2}\) proposed in this paper; DSLR2 represents the random-effects method based on R2; DSL denotes the standard random-effects model; FEM is the fixed-effects model