The default object class returned by biomvRhsmm , biomvRseg and biomvRmgmr
● Data Source:
BioConductor
● Keywords: classes
● Alias: biomvRCNS-class, plot,biomvRCNS,ANY-method, show,biomvRCNS-method
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This function could be called to plot segmentation output, together with the input signal and optional annotation. By default resulting image will be printed to file. The plot method for class biomvRCNS-class also calls this method. See the vignette for a more complete example.
● Data Source:
BioConductor
● Keywords:
● Alias: biomvRGviz
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The batch function of building Hidden Semi Markov Model (HSMM) to estimate the most likely state sequences for multiple input data series.
● Data Source:
BioConductor
● Keywords: hsmm
● Alias: biomvRhsmm
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This is a wrapper function for batch processing multiple sequences and samples using max-gap-min-run algorithm for 2 states segmentation
● Data Source:
BioConductor
● Keywords:
● Alias: biomvRmgmr
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The function will perform a two stage segmentation on multi-sample genomic data from array experiment or high throughput sequencing data.
● Data Source:
BioConductor
● Keywords:
● Alias: biomvRseg
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This is the working horse of the biomvRhsmm
● Data Source:
BioConductor
● Keywords: hsmm
● Alias: hsmmRun
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A custom Max-gap-min-run implementation using physical position for gap and run length calculation.
● Data Source:
BioConductor
● Keywords:
● Alias: maxGapminRun
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Estimate matrix of dispersion parameter alpha (size) used in regionSegCost for negative binomial distributed x .
● Data Source:
BioConductor
● Keywords:
● Alias: regionSegAlphaNB
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To calculate regional cost matrix for the initial stage and second merging stage of the segmentation model.
● Data Source:
BioConductor
● Keywords:
● Alias: regionSegCost
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Simulate exemplary segmentation data.
● Data Source:
BioConductor
● Keywords:
● Alias: simSegData
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