Retrieve significant pairs, based on adjusted p-values. For each pair that is statistically significant, calculate the correlation within group1 (e.g. cancer) and the correlation within group2 (e.g. non-cancer). Users can then remove pairs with a difference in correlations between groups 1 and 2 less than a user-defined threshold.
ProcessResults(
inputResults,
inputData,
pvalcutoff = 0.05,
interactionCoeffPercentile = 0,
rsquaredCutoff = 0
)IntResults object with model results (now includes correlations)
IntLimResults object with model results (output of RunIntLim())
MultiDataSet object (output of ReadData()) with analyte levels and associated meta-data
cutoff of FDR-adjusted p-value for filtering (default 0.05)
percentile cutoff for interaction coefficient (default bottom 10 percent (high negative coefficients) and top 10 percent (high positive coefficients))
cutoff for lowest r-squared value