Jointly segment several ChIP-seq samples to find the peaks which are the same and different across samples. The fast approximate maximum Poisson likelihood algorithm is described in "PeakSegJoint: fast supervised peak detection via joint segmentation of multiple count data samples" <doi:10.48550/arXiv.1506.01286> by TD Hocking and G Bourque.
| Version: | 2024.12.4 |
| Depends: | R (≥ 2.14) |
| Imports: | PeakError, parallel,penaltyLearning |
| Suggests: | testthat,ggplot2 (≥ 2.0),microbenchmark |
| Published: | 2024-12-04 |
| DOI: | 10.32614/CRAN.package.PeakSegJoint |
| Author: | Toby Dylan Hocking [aut, cre] |
| Maintainer: | Toby Dylan Hocking <toby.hocking at r-project.org> |
| BugReports: | https://github.com/tdhock/PeakSegJoint/issues |
| License: | GPL-3 |
| URL: | https://github.com/tdhock/PeakSegJoint |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| In views: | Omics |
| CRAN checks: | PeakSegJoint results |
| Reference manual: | PeakSegJoint.html ,PeakSegJoint.pdf |
| Package source: | PeakSegJoint_2024.12.4.tar.gz |
| Windows binaries: | r-devel:PeakSegJoint_2024.12.4.zip, r-release:PeakSegJoint_2024.12.4.zip, r-oldrel:PeakSegJoint_2024.12.4.zip |
| macOS binaries: | r-release (arm64):PeakSegJoint_2024.12.4.tgz, r-oldrel (arm64):PeakSegJoint_2024.12.4.tgz, r-release (x86_64):PeakSegJoint_2024.12.4.tgz, r-oldrel (x86_64):PeakSegJoint_2024.12.4.tgz |
| Old sources: | PeakSegJoint archive |
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