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: | 2024.10.1 |
Depends: | R (≥ 2.14) |
Imports: | PeakError, parallel, penaltyLearning |
Suggests: | testthat, ggplot2 (≥ 2.0), microbenchmark |
Published: | 2024-10-02 |
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.pdf |
Package source: | PeakSegJoint_2024.10.1.tar.gz |
Windows binaries: | r-devel: PeakSegJoint_2024.10.1.zip, r-release: PeakSegJoint_2024.10.1.zip, r-oldrel: PeakSegJoint_2024.10.1.zip |
macOS binaries: | r-release (arm64): PeakSegJoint_2024.10.1.tgz, r-oldrel (arm64): PeakSegJoint_2024.10.1.tgz, r-release (x86_64): PeakSegJoint_2024.10.1.tgz, r-oldrel (x86_64): PeakSegJoint_2024.10.1.tgz |
Old sources: | PeakSegJoint archive |
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