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Table 1 Results of the tests of normality of the background noise as estimated by the exponential-normal convolution model.

From: A distribution-free convolution model for background correction of oligonucleotide microarray data

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
  1. 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.
  2. a P-values are not identically 0, but are 0 to at least five decimal places.
  3. AD = Anderson-Darling test, KS = Kolmorgorov-Smirnov test, SW = Shapiro-Wilk test.