posteriorProbs-CNVDetectionResult-method: This generic function returns the posterior probabilities of...
In cn.mops: cn.mops - Mixture of Poissons for CNV detection in NGS data
Description
Usage
Arguments
Value
Author(s)
Examples
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
1
2
## 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
1
2
3
data(cn.mops)
r <- cn.mops(X[1:100,1:5])
posteriorProbs(r)
cn.mops documentation built on Nov. 8, 2020, 5:59 p.m.
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.
Description Usage Arguments Value Author(s) Examples
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
1 2 | ## 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
1 2 3 | 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.