Table 1

Results of the tests of normality of the background noise as estimated by the exponential-normal convolution model.

Data Set

Test

Rejection Rate

Min P-valuea

Med P-value

Max P-value


HG-U95Av2

AD

962

0

0.0008

0.4738

KS

796

0

0.0082

0.8261

SW

999

0

0.0036

0.1186

HG-U133A

AD

850

0

0.0064

0.5915

KS

594

0

0.0307

0.7700

SW

962

0

0.0031

0.3010

GoldenSpike

AD

885

0

0.0035

0.3559

KS

639

0

0.0259

0.7490

SW

987

0

0.0016

0.1502


The rejection rates (number of p-values less than 0.05) are much higher than expected, indicating that the background noise is not likely to be normally distributed.

a P-values are not identically 0, but are 0 to at least five decimal places.

AD = Anderson-Darling test, KS = Kolmorgorov-Smirnov test, SW = Shapiro-Wilk test.

Chen et al. BMC Genomics 2009 10(Suppl 1):S19   doi:10.1186/1471-2164-10-S1-S19

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