PeakSegDP
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 http://proceedings.mlr.press/v37/hocking15.html "PeakSeg: constrained optimal segmentation and supervised penalty learning for peak detection in count data" by TD Hocking et al, proceedings of ICML2015.
- Version2024.1.24
- R version≥ 2.10
- LicenseGPL-3
- Needs compilation?Yes
- Last release01/24/2024
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Toby Dylan Hocking
Guillem Rigaill
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