jg.getNormalizationCoefficient: jg.getNormalizationCoefficient
In andrewholding/Brundle: Normalisation Tools for Inter-Condition Variability of ChIP-Seq Data
Description
Usage
Arguments
Examples
Description
This function allows the user to caryy out the normalisation and returns a
coefficient by using a linear fit to the control data.
Usage
1
2
Arguments
jg.controlCountsTreated
Control counts extracted from the Diffbind object for the treated condition using jg.getControlCounts
jg.controlCountsUntreated
Control ounts extracted from the Diffbind object for the untreated condition using jg.getControlCounts
Examples
1
2
3
4
data(jg.controlCountsTreated, package="Brundle")
data(jg.controlCountsUntreated, package="Brundle")
jg.coefficient<-jg.getNormalizationCoefficient(jg.controlCountsTreated,
jg.controlCountsUntreated)
andrewholding/Brundle documentation built on May 10, 2019, 5:17 a.m.
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Description Usage Arguments Examples
Description
This function allows the user to caryy out the normalisation and returns a coefficient by using a linear fit to the control data.
Usage
1 2 |
Arguments
jg.controlCountsTreated |
Control counts extracted from the Diffbind object for the treated condition using jg.getControlCounts |
jg.controlCountsUntreated |
Control ounts extracted from the Diffbind object for the untreated condition using jg.getControlCounts |
Examples
1 2 3 4 | data(jg.controlCountsTreated, package="Brundle")
data(jg.controlCountsUntreated, package="Brundle")
jg.coefficient<-jg.getNormalizationCoefficient(jg.controlCountsTreated,
jg.controlCountsUntreated)
|
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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