View source: R/04_ProcessResults.R
ProcessResults | R Documentation |
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 )
inputResults |
IntLimResults object with model results (output of RunIntLim()) |
inputData |
MultiDataSet object (output of ReadData()) with analyte levels and associated meta-data |
pvalcutoff |
cutoff of FDR-adjusted p-value for filtering (default 0.05) |
interactionCoeffPercentile |
percentile cutoff for interaction coefficient (default bottom 10 percent (high negative coefficients) and top 10 percent (high positive coefficients)) |
rsquaredCutoff |
cutoff for lowest r-squared value |
IntResults object with model results (now includes correlations)
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