Description Usage Arguments Details Value Examples
Wrapper to help perform percentile normalization on a matrix of counts. Takes counts and a data-frame of grouping variables and returns a matrix of transformed counts. This is designed (by the Developers of the procedure) to work with case/control experiments by taking the untreated group as reference and adjusting the other groupings of TRT x Batch to it.
1 | percentileNorm(cnts, meta)
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cnts |
A numeric matrix of abundances (samples x features). |
meta |
Data-frame of covariate columns, first column contains batches, second column contains grouping. |
The function returns a matrix of normalized abundances.
Numeric matrix of corrected/normalized counts.
1 2 3 4 | # This will return a matrix of normalized counts, according to the covariate
# information in meta
mtx.pn_counts <- percentileNorm(cnts=dummy.list$cnts,
meta=dummy.list$meta[,c("batch","group")])
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