This is the development version of biomvRCNS; for the stable release version, see biomvRCNS.
Copy Number study and Segmentation for multivariate biological dataBioconductor version: Development (3.22)
In this package, a Hidden Semi Markov Model (HSMM) and one homogeneous segmentation model are designed and implemented for segmentation genomic data, with the aim of assisting in transcripts detection using high throughput technology like RNA-seq or tiling array, and copy number analysis using aCGH or sequencing.
Author: Yang Du
Maintainer: Yang Du <tooyoung at gmail.com>
Citation (from within R, entercitation("biomvRCNS")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("biomvRCNS")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("biomvRCNS")
Details See More Package Archives
Follow Installation instructions to use this package in your R session.
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