PeakSegDP (2017.08.15)

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Dynamic Programming Algorithm for Peak Detection in ChIP-Seq Data.

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.

Maintainer: Toby Dylan Hocking
Author(s): Toby Dylan Hocking, Guillem Rigaill

License: GPL-3

Uses: ggplot2, testthat, penaltyLearning
Reverse suggests: PeakSegOptimal

Released over 2 years ago.

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