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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 |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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