runLimmaPipeline: This function orchestrates imputation, normalization and the...

View source: R/runLimmaPipeline.R

runLimmaPipelineR Documentation

This function orchestrates imputation, normalization and the binary limma statistics accross all experimental comparisons

Description

This function orchestrates imputation, normalization and the binary limma statistics accross all experimental comparisons

Usage

runLimmaPipeline(
  IntensityExperiment,
  normalisationMethod,
  fitSeparateModels,
  returnDecideTestColumn,
  conditionSeparator
)

Arguments

IntensityExperiment

Output from createSummarizedExperiment

normalisationMethod

logical. Whether to perform median normalisation by condition.

fitSeparateModels

logical. TRUE to fit separate limma models for each pairwise comparisons (e.g. filtering and 'lmFit' are run separately by comparison).

returnDecideTestColumn

logical. If TRUE the row data of the 'CompleteIntensityExperiment' will contain the output from 'limma::decideTests'. If FALSE a single model is run for all contrasts.

conditionSeparator

string. String used to separate up and down condition in output.


MassDynamics/MassExpression documentation built on May 7, 2023, 11:29 a.m.