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PeakSegDP  

Dynamic Programming Algorithm for Peak Detection in ChIP-Seq Data
View on CRAN: Click here


Download and install PeakSegDP package within the R console
Install from CRAN:
install.packages("PeakSegDP")

Install from Github:
library("remotes")
install_github("cran/PeakSegDP")

Install by package version:
library("remotes")
install_version("PeakSegDP", "2024.1.24")



Attach the package and use:
library("PeakSegDP")
Maintained by
Toby Dylan Hocking
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-06-21
Latest Update: 2024-01-24
Description:
A quadratic time dynamic programming algorithm can be used to compute an approximate solution to the problem of finding the most likely changepoints with respect to the Poisson likelihood, subject to a constraint on the number of segments, and the changes which must alternate: up, down, up, down, etc. For more info read "PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data" by TD Hocking et al, proceedings of ICML2015.
How to cite:
Toby Dylan Hocking (2017). PeakSegDP: Dynamic Programming Algorithm for Peak Detection in ChIP-Seq Data. R package version 2024.1.24, https://cran.r-project.org/web/packages/PeakSegDP. Accessed 05 Jun. 2026.
Previous versions and publish date:
2017.06.20 (2017-06-21 01:23), 2017.08.15 (2017-08-15 23:39)
Other packages that cited PeakSegDP R package
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Complete documentation for PeakSegDP
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