Copy Number study and Segmentation for multivariate biological data


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Documentation for package ‘biomvRCNS’ version 1.47.0

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biomvRCNS-class Class '"biomvRCNS"'
biomvRGviz Plot segmentation result using Gviz
biomvRhsmm Estimating the most likely state sequence using Hidden Semi Markov Model
biomvRmgmr Batch process multiple sequences and samples using max-gap-min-run algorithm for 2 states segmentation
biomvRseg Homogeneous segmentation of multi-sample genomic data
coriell Array CGH data set of Coriell cell lines
encodeTP53 mapped RNA-seq data from ENCODE
hsmmRun Estimating the most likely state sequence using Hidden Semi Markov Model
maxGapminRun Max-gap-min-run algorithm for 2 states segmentation
plot-method Class '"biomvRCNS"'
regionSegAlphaNB Estimate matrix of dispersion parameter alpha (size) used in 'regionSegCost' for negative binomial distributed 'x'.
regionSegCost Regional segmentation cost matrix
show-method Class '"biomvRCNS"'
simSegData Simulate exemplary segmentation data.
sojournAnno Estimate sojourn distribution parameters from posterior information like annotation data
splitFarNeighbour Split segments if long gaps exist between feature positions
variosm Differential methylation data from sequencing