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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 |
DOI: | 10.32614/CRAN.package.jointseg |
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 |
In views: | TimeSeries |
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 (arm64): jointseg_1.0.2.tgz, r-oldrel (arm64): jointseg_1.0.2.tgz, r-release (x86_64): jointseg_1.0.2.tgz, r-oldrel (x86_64): jointseg_1.0.2.tgz |
Old sources: | jointseg archive |
Reverse depends: | SegCorr |
Reverse imports: | CNVScope |
Reverse suggests: | penaltyLearning |
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