This package implements functions to quickly segment multivariate signals into piecewise-constant profiles, as well as a framework to generate realistic copy-number profiles. A typical application is the joint segmentation of total DNA copy numbers and allelic ratios obtained from Single Nucleotide Polymorphism (SNP) microarrays in cancer studies.
You can install jointseg from github with:
# install.packages("devtools")
devtools::install_github("mpierrejean/jointseg")
The main high-level joint segmentation functions are: *
jointSeg
for arbitrary signals, see ?jointSeg
.
* PSSeg
for bivariate copy-number signals, see
?PSSeg
and vignette("PSSeg")
.
We also refer to vignette("dataGeneration")
for a
description of the generation of synthetic DNA copy-number profiles
using data from the acnr
package.
Pierre-Jean, M, Rigaill, G. J. and Neuvial, P. (2015). “Performance Evaluation of DNA Copy Number Segmentation Methods.” Briefings in Bioinformatics, no. 4: 600–615.
Resource: | GitHub | Travis CI | Appveyor |
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Platforms: | Multiple | Linux & OS X | Windows |
R CMD check | |||
Test coverage |