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" <arXiv:1506.01286> by TD Hocking and G Bourque.
| Version: | 2017.08.11 |
| Depends: | R (≥ 2.14) |
| Imports: | data.table (≥ 1.9.4), PeakError, parallel, penaltyLearning |
| Suggests: | testthat, ggplot2 (≥ 2.0) |
| Published: | 2017-08-15 |
| Author: | Toby Dylan Hocking |
| Maintainer: | Toby Dylan Hocking <toby.hocking at r-project.org> |
| License: | GPL-3 |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | PeakSegJoint results |
| Reference manual: | PeakSegJoint.pdf |
| Package source: | PeakSegJoint_2017.08.11.tar.gz |
| Windows binaries: | r-devel: PeakSegJoint_2017.08.11.zip, r-release: PeakSegJoint_2017.08.11.zip, r-oldrel: PeakSegJoint_2017.08.11.zip |
| OS X binaries: | r-release: PeakSegJoint_2017.08.11.tgz, r-oldrel: PeakSegJoint_2017.08.11.tgz |
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