normalizedData
(Package: cn.mops) :
This generic function returns the normalized data
This generic function returns the normalized data of a CNV detection method stored in an instance of CNVDetectionResult-class.
● Data Source:
BioConductor
● Keywords:
● Alias: normalizedData
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This generic function returns the parameters of a CNV detection method stored in an instance of CNVDetectionResult-class.
● Data Source:
BioConductor
● Keywords:
● Alias: params,CNVDetectionResult-method
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params
(Package: cn.mops) :
This generic function returns the parameters of
This generic function returns the parameters of a CNV detection method stored in an instance of CNVDetectionResult-class.
● Data Source:
BioConductor
● Keywords:
● Alias: params
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plot
(Package: cn.mops) :
Plots a CNVDetectionResult
Plots read counts, call values and CNV calls in an identified CNV region.
● Data Source:
BioConductor
● Keywords:
● Alias: plot,CNVDetectionResult,missing-method, plot-methods
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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.
● Data Source:
BioConductor
● Keywords:
● Alias: posteriorProbs,CNVDetectionResult-method
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posteriorProbs
(Package: cn.mops) :
This generic function returns the posterior probabilities of
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.
● Data Source:
BioConductor
● Keywords:
● Alias: posteriorProbs
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referencecn.mops
(Package: cn.mops) :
Copy number detection in NGS data with in a control versus cases
This function performs the an alternative version of the cn.mops algorithm adapted to a setting of control versus cases
● Data Source:
BioConductor
● Keywords:
● Alias: referencecn.mops
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This generic function returns the sample names of a CNV detection method stored in an instance of CNVDetectionResult-class.
● Data Source:
BioConductor
● Keywords:
● Alias: sampleNames,CNVDetectionResult-method
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sampleNames
(Package: cn.mops) :
This generic function returns the sample names of
This generic function returns the sample names of a CNV detection method stored in an instance of CNVDetectionResult-class.
● Data Source:
BioConductor
● Keywords:
● Alias: sampleNames
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segment
(Package: cn.mops) :
Fast segmentation of CNV calls.
Performs a fast segmentation algorithm based on the cyber t test and the t statistics. This is a special version for log-ratios or I/NI calls that are assumed to be centered around 0. For segmentation of data with different characteristics you can a) substract the mean/median/mode from your data or b) use the more general version of this algorithm in the R Bioconductor package "fastseg".
● Data Source:
BioConductor
● Keywords:
● Alias: segment
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providing 
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