R: Copy Number study and Segmentation for multivariate biological data

# Copy Number study and Segmentation for multivariate biological data

## Documentation for package ‘biomvRCNS’ version 1.52.0

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## Help Pages

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