jg.getCorrectionFactor: jg.getCorrectionFactor
In andrewholding/Brundle: Normalisation Tools for Inter-Condition Variability of ChIP-Seq Data
Description
Usage
Arguments
Examples
Description
Generates a correction factor that is applied before reinserting the data
into the DiffBind object for analysis.
Usage
1
2
jg.getCorrectionFactor(jg.experimentSampleSheet, jg.treatedNames,
jg.untreatedNames)
Arguments
jg.experimentSampleSheet
is the csv samplesheet used to load the data into DiffBind
jg.treatedNames
is a list of the names of samples that are treated
jg.untreatedNames
is a list of the names of samples that are untreated
Examples
1
2
3
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
Generates a correction factor that is applied before reinserting the data into the DiffBind object for analysis.
Usage
1 2 | jg.getCorrectionFactor(jg.experimentSampleSheet, jg.treatedNames,
jg.untreatedNames)
|
Arguments
jg.experimentSampleSheet |
is the csv samplesheet used to load the data into DiffBind |
jg.treatedNames |
is a list of the names of samples that are treated |
jg.untreatedNames |
is a list of the names of samples that are untreated |
Examples
1 2 3 | 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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