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Again, we queried the combined data set based on array p-values to determine the limitations of our system, as p-values (or some other measure of data quality such as background to noise ratios) are commonly used to filter microarray data.
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Significance was based on two-tailed P-values.
This results in inference based on corrected p-values.
Individual samples were selected based on p-values.
All rankings are based on p-values.
Potential confounders were identified based on P-values ⩽0.1.
Data were ranked based on p-values and F-statistics.
We chose the model based on the p-value.
Statistical significance was defined based on a p-value < 0.05.
Outliers were determined based on an empirical P value for each locus at the 95%and99%9% levels using the two-dimensional arrays of 50 × 50 square cells (Vitalis et al. 2001).
(based on Bonferroni adjusted p values).
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