ProcessResultsContinuous: Retrieve significant pairs (aka filter out nonsignificant...

In IntLIM: Integration of Omics Data Using Linear Modeling

Retrieve significant pairs (aka filter out nonsignificant pairs) based on value of analyte:type interaction coefficient from linear model

Description

Retrieve significant pairs (aka filter out nonsignificant pairs) based on value of analyte:type interaction coefficient from linear model

Usage

ProcessResultsContinuous(
  inputResults,
  interactionCoeffPercentile = 0.1,
  pvalCutoff = 0.05,
  rsquaredCutoff = 0
)

Arguments

inputResults	IntLimResults object with model results: output of RunIntLim
interactionCoeffPercentile	percentile cutoff for interaction coefficient default bottom 10 percent (high negative coefficients) and top 10 percent (high positive coefficients)
pvalCutoff	cutoff of FDR-adjusted p-value for filtering (default 0.05)
rsquaredCutoff	cutoff of R-squared value for filtering (default 0, no filtering)

Value

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.

IntLIM documentation built on Aug. 22, 2022, 5:05 p.m.