Retrieve significant pairs (aka filter out nonsignificant pairs) based on value of analyte:type interaction coefficient from linear model
ProcessResultsContinuous(
inputResults,
interactionCoeffPercentile = 0.1,
pvalCutoff = 0.05,
rsquaredCutoff = 0
)A data frame with the following columns for each pair of analytes: "Analyte1", "Analyte2", "interaction_coeff", "Pval", "FDRadjPval", and "rsquared". Optionally, coefficients for each covariate may also be included.
IntLimResults object with model results: output of RunIntLim
percentile cutoff for interaction coefficient default bottom 10 percent (high negative coefficients) and top 10 percent (high positive coefficients)
cutoff of FDR-adjusted p-value for filtering (default 0.05)
cutoff of R-squared value for filtering (default 0, no filtering)