Description Usage Arguments Value Author(s) See Also Examples
Implements quantile normalization for a qpcrBatch
object.
We have adapted this algorithm from the function
normalizeBetweenArrays
from the limma package.
Data in a qpcrBatch
object is normalized such that
within an experiment, the expression distributions
across plates are more or less identical, and across experiments, the expression distributions
are also now more or less identical.
1 | normQpcrQuantile(qBatch)
|
qBatch |
A |
A link{qpcrBatch}
object, the normalized
slot is now set at TRUE.
Jess Mar jess@jimmy.harvard.edu
normQpcrRankInvariant
,
normalizeBetweenArrays
1 2 | data(qpcrBatch.object)
mynormQuant.data <- normQpcrQuantile(qpcrBatch.object)
|
Loading required package: Biobase
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clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
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pmin, pmin.int, rank, rbind, rowMeans, rowSums, rownames, sapply,
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which.max, which.min
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