preprocessFresco: Normalize data using flexible local regression using...
In paulmanser/fresco: Flexible local regression using empirically selected control probes
Description
Normalize data using flexible local regression using
empirical controls
Usage
1
2
preprocessFresco(object, useControls = TRUE, loessSpan = 0.1,
fitLoess = TRUE, sdThreshold = 0.1, verbose = TRUE)
Arguments
object
MethylSet object
useControls
Should empirical controls be used to
align and fit loess surfaces?
loessSpan
Supply span for fitting loess surface
fitLoess
Should loess curve be fitted after
initial alignment and scaling?
sdThreshold
Threshold to filter empirical controls
by standard deviation
paulmanser/fresco documentation built on May 24, 2019, 8:45 p.m.
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Description
Normalize data using flexible local regression using empirical controls
Usage
1 2 | preprocessFresco(object, useControls = TRUE, loessSpan = 0.1,
fitLoess = TRUE, sdThreshold = 0.1, verbose = TRUE)
|
Arguments
object |
|
useControls |
Should empirical controls be used to align and fit loess surfaces? |
loessSpan |
Supply span for fitting loess surface |
fitLoess |
Should loess curve be fitted after initial alignment and scaling? |
sdThreshold |
Threshold to filter empirical controls by standard deviation |
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.
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