| qsva {sva} | R Documentation |
This function computes quality surrogate variables (qSVs) from the library-size- and read-length-normalized degradation matrix for subsequent RNA quality correction
qsva( degradationMatrix, mod = matrix(1, ncol = 1, nrow = ncol(degradationMatrix)) )
degradationMatrix |
the normalized degradation matrix, region by sample |
mod |
(Optional) statistical model used in DE analysis |
the qSV adjustment variables
## Find files
bwPath <- system.file('extdata', 'bwtool', package = 'sva')
## Read the data
degCovAdj = read.degradation.matrix(
covFiles = list.files(bwPath,full.names=TRUE),
sampleNames = list.files(bwPath), readLength = 76,
totalMapped = rep(100e6,5),type="bwtool")
## Input data
head(degCovAdj)
## Results
qsva(degCovAdj)