Methods for fast segmentation of multivariate signals into piecewise constant profiles and for generating 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. The methods are described in Pierre-Jean, Rigaill and Neuvial (2015) <doi:10.1093/bib/bbu026>.
| Version: | 1.0.2 |
| Depends: | R (≥ 3.1.0) |
| Imports: | acnr (≥ 0.3.1), matrixStats (≥ 0.6.0), DNAcopy |
| Suggests: | PSCBS, R.cache, digest, changepoint (≥ 1.0.2), knitr, rmarkdown, testthat |
| Published: | 2019-01-11 |
| Author: | Morgane Pierre-Jean [aut, cre], Pierre Neuvial [aut], Guillem Rigaill [aut] |
| Maintainer: | Morgane Pierre-Jean <mpierrejean.pro at gmail.com> |
| BugReports: | https://github.com/mpierrejean/jointseg/issues |
| License: | LGPL-2.1 | LGPL-3 [expanded from: LGPL (≥ 2.1)] |
| URL: | https://github.com/mpierrejean/jointseg |
| NeedsCompilation: | yes |
| Citation: | jointseg citation info |
| Materials: | README NEWS |
| CRAN checks: | jointseg results |
| Reference manual: | jointseg.pdf |
| Vignettes: |
PSSeg Generating realistic data |
| Package source: | jointseg_1.0.2.tar.gz |
| Windows binaries: | r-devel: jointseg_1.0.2.zip, r-release: jointseg_1.0.2.zip, r-oldrel: jointseg_1.0.2.zip |
| macOS binaries: | r-release: jointseg_1.0.2.tgz, r-oldrel: jointseg_1.0.2.tgz |
| Old sources: | jointseg archive |
| Reverse depends: | SegCorr |
| Reverse imports: | CNVScope |
| Reverse suggests: | penaltyLearning |
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