CRAN/E | PeakSegDP

PeakSegDP

Dynamic Programming Algorithm for Peak Detection in ChIP-Seq Data

Installation

About

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.

github.com/tdhock/PeakSegDP
Bug report File report

Key Metrics

Version 2024.1.24
R ≥ 2.10
Published 2024-01-24 96 days ago
Needs compilation? yes
License GPL-3
CRAN checks PeakSegDP results

Downloads

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Maintainer

Maintainer

Toby Dylan Hocking

toby.hocking@r-project.org

Authors

Toby Dylan Hocking
Guillem Rigaill

Material

NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

PeakSegDP archive

Depends

R ≥ 2.10

Suggests

ggplot2 ≥ 2.0
testthat
penaltyLearning

Reverse Suggests

PeakSegOptimal