Conditional normalization method (e.g. on GC content) based on approach described in Pickrell, et al, 2010, Nature.
Source:R/normalize.R
conditionalNormalize.RdConditional normalization method (e.g. on GC content) based on approach described in Pickrell, et al, 2010, Nature.
Usage
conditionalNormalize(
object,
inputAssay = "counts",
outputAssay = "normalized",
conditionalColumn = "GC",
offsetAssay = NULL,
bins = 200,
sizeFactors = NULL,
minCount = 1,
minSamples = 1,
aggregate.fn = sum
)Arguments
- object
A
SummarizedExperimentobject.- inputAssay
The name of the assay to use for the calculation.
- outputAssay
The name of the assay to use for the output.
- conditionalColumn
The column in the metadata to use for the conditional normalization.
- offsetAssay
The name of the assay to use for the offset.
- bins
The number of bins to use for the conditional normalization.
- sizeFactors
The size factors to use for the normalization.
- minCount
The minimum count to consider a unit (CTSS, gene, etc.) as expressed.
- minSamples
The minimum number of samples to consider a unit as expressed.
- aggregate.fn
The function to use for aggregation.