posteriorProbs-CNVDetectionResult-method: This generic function returns the posterior probabilities of...
In gpovysil/cn.mops: cn.mops - Mixture of Poissons for CNV detection in NGS data
posteriorProbs,CNVDetectionResult-method R Documentation
This generic function returns the posterior probabilities of
a CNV detection method stored in an instance of
CNVDetectionResult-class.
The posterior probabilities are represented
as a three dimensional array, where the three dimensions are segment,
copy number and individual.
Description
This generic function returns the posterior probabilities of
a CNV detection method stored in an instance of
CNVDetectionResult-class.
The posterior probabilities are represented
as a three dimensional array, where the three dimensions are segment,
copy number and individual.
Usage
## S4 method for signature 'CNVDetectionResult'
posteriorProbs(object)
Arguments
object
An instance of "CNVDetectionResult"
Value
posteriorProbs returns a three dimensional array.
Author(s)
Guenter Klambauer klambauer@bioinf.jku.at
Examples
data(cn.mops)
r <- cn.mops(X[1:100,1:5])
posteriorProbs(r)
gpovysil/cn.mops documentation built on Aug. 7, 2024, 12:45 p.m.
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| posteriorProbs,CNVDetectionResult-method | R Documentation |
This generic function returns the posterior probabilities of
a CNV detection method stored in an instance of
CNVDetectionResult-class.
The posterior probabilities are represented
as a three dimensional array, where the three dimensions are segment,
copy number and individual.
Description
This generic function returns the posterior probabilities of
a CNV detection method stored in an instance of
CNVDetectionResult-class.
The posterior probabilities are represented
as a three dimensional array, where the three dimensions are segment,
copy number and individual.
Usage
## S4 method for signature 'CNVDetectionResult'
posteriorProbs(object)
Arguments
object |
An instance of "CNVDetectionResult" |
Value
posteriorProbs returns a three dimensional array.
Author(s)
Guenter Klambauer klambauer@bioinf.jku.at
Examples
data(cn.mops)
r <- cn.mops(X[1:100,1:5])
posteriorProbs(r)
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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