Retrieve significant pairs, based on adjusted p-values, interaction coefficient percentile, and r-squared values. This is a wrapper for ProcessResults.
ProcessResultsAllFolds(
inputResults,
inputData,
pvalcutoff = 0.05,
interactionCoeffPercentile = 0.5,
rsquaredCutoff = 0,
treecuts = 0
)List of IntResults object with model results (now includes correlations)
List of IntLimResults object with model results (output of RunIntLimAllFolds())
List of MultiDataSet objects (output of CreateCrossValFolds()) 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
user-selected number of clusters (of pairs) to cut the tree into