scaleNorm-methods: Scale Normalisation
In katenambiar/pmpa: Peptide Microarray Pre-Processing and Analysis
Description
Usage
Arguments
Value
Description
Scale Normalisation
Scale Normalisation
Usage
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scaleNorm(x, ...)
## S4 method for signature 'MultiSet'
scaleNorm(x, controlID = NULL)
## S4 method for signature 'ExpressionSet'
scaleNorm(x, controlID = NULL)
scaleNorm(x, ...)
## S4 method for signature 'MultiSet'
scaleNorm(x, controlID = NULL)
## S4 method for signature 'ExpressionSet'
scaleNorm(x, controlID = NULL)
Arguments
x
MultiSet object with fMedian matrices in the assayData slot
offset
numeric value added to raw signal intensity before
background correction is implemented
x
MultiSet object with fMedian matrices
in the assayData slot
offset
numeric value added to raw signal intensity
before background correction is implemented
Value
MultiSet object with normalised foreground signal in the fMedian matrix
MultiSet object with normalised
foreground signal in the fMedian matrix
katenambiar/pmpa documentation built on May 18, 2017, 4:17 p.m.
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Description Usage Arguments Value
Description
Scale Normalisation
Scale Normalisation
Usage
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | scaleNorm(x, ...)
## S4 method for signature 'MultiSet'
scaleNorm(x, controlID = NULL)
## S4 method for signature 'ExpressionSet'
scaleNorm(x, controlID = NULL)
scaleNorm(x, ...)
## S4 method for signature 'MultiSet'
scaleNorm(x, controlID = NULL)
## S4 method for signature 'ExpressionSet'
scaleNorm(x, controlID = NULL)
|
Arguments
x |
MultiSet object with fMedian matrices in the assayData slot |
offset |
numeric value added to raw signal intensity before background correction is implemented |
x |
MultiSet object with fMedian matrices in the assayData slot |
offset |
numeric value added to raw signal intensity before background correction is implemented |
Value
MultiSet object with normalised foreground signal in the fMedian matrix
MultiSet object with normalised foreground signal in the fMedian matrix
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
As an Amazon Associate I earn from qualifying purchases.
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