Table 1 

Results of the tests of normality of the background noise as estimated by the exponentialnormal convolution model. 

Data Set 
Test 
Rejection Rate 
Min Pvaluea 
Med Pvalue 
Max Pvalue 


HGU95Av2 
AD 
962 
0 
0.0008 
0.4738 
KS 
796 
0 
0.0082 
0.8261 

SW 
999 
0 
0.0036 
0.1186 

HGU133A 
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 pvalues less than 0.05) are much higher than expected, indicating that the background noise is not likely to be normally distributed. a Pvalues are not identically 0, but are 0 to at least five decimal places. AD = AndersonDarling test, KS = KolmorgorovSmirnov test, SW = ShapiroWilk test. 

Chen et al. BMC Genomics 2009 10(Suppl 1):S19 doi:10.1186/1471216410S1S19 