View source: R/runLimmaPipeline.R
runLimmaPipeline | R Documentation |
This function orchestrates imputation, normalization and the binary limma statistics accross all experimental comparisons
runLimmaPipeline(
IntensityExperiment,
normalisationMethod,
fitSeparateModels,
returnDecideTestColumn,
conditionSeparator
)
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. |
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