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Table 1 Summary of the effect of mean batch-centering on data generated from different experiments.

From: The removal of multiplicative, systematic bias allows integration of breast cancer gene expression datasets – improving meta-analysis and prediction of prognosis

  

Within two-fold consistent (%)

SAM Common, top 1000

Data from different experiments

Probesets

Between datasets

Across datasets

Between datasets

Across datasets

  

Before

After

Before

After

Before

After

Before

After

Amplified 10 ng and unamplified 10 μg protocols, RMA, U133A

22283

20645 (92%)

(Fig 1A)

20645 (92%)

(Fig 1A)

13221 (59%)

(Fig 1B)

22283 (100%)

(Fig 1B)

522

(0.031)

(0.032)

522

(0.031)

(0.032)

251

(0.023)

(0.037)

594

(0.025)

(0.035)

U133A and plus 2.0 arrays common, MAS5 present = 4/6 chips

11198

10641 (95%)

10669 (95%)

2675 (24%)

11170 (100%)

493

(0.037)

(0.036)

493

(0.037)

(0.036)

112

(0.026)

(0.027)

954

(0.041)

(0.040)

Exon v U133 plus 2 (consensus mapping) Plier and MAS5

44280

37255 (84%)

37255 (84%)

9485 (21%)

44280 (100%)

528

(0.067)

(0.060)

528

(0.067)

(0.060)

569

(0.024)

(0.020)

847

(0.110)

(0.089)

Exon v U133 plus 2 (SIF mapping) Plier and MAS5

13730

12028 (88%)

12028 (88%)

3626 (26%)

13730 (100%)

524

(0.068)

(0.060)

524

(0.068)

(0.060)

731

(0.026)

(0.026)

916

(0.569)

(0.370)

Standard 10 μg and revised 2 μg protocols, RMA, U133A

22283

21303 (96%)

21303 (96%)

19779 (89%)

22283 (100%)

688

(0.035)

(0.050)

688

(0.035)

(0.050)

618

(0.039)

(0.044)

901

(0.044)

(0.042)

GeneChip 3000 and GeneArray 2500 scanners, RMA, U133A

22283

22276 (100%)

22276 (100%)

22282 (100%)

22283 (100%)

883

(0)

(0)

883

(0)

(0)

872

(0)

(0)

879

(0)

(0)

NuGEN 10 ng and EpiStem 2 ng amplification, RMA, U133 plus 2

54675

49308 (90%)

49308 (90%)

28276 (52%)

54675 (100%)

530

(0.060)

(0.066)

530

(0.060)

(0.066)

364

(0.035)

(0.034)

743

(0.070)

(0.069)

  1. Sets of differentially expressed probesets comparing MCF7 and MCF10A replicates were identified for each experiment, before and after mean batch-centering. Comparisons between and across different validation experiments were performed. The number (%) of probesets with less than 2-fold deviation in the fold change found for each comparison is reported in the table. SAM Common: for each column two different pairwise comparisons using SAM were performed, and the top 1000 probesets identified for each comparison. The number reported is the intersection between the two sets. Before: comparison was performed prior to mean batch-centering. After: comparison was performed following mean batch-centering. Values in brackets are the FDR for each top 1000 probesets. See Additional File 1 for plots.