PeakSegDP (version 2017.08.15)
Dynamic Programming Algorithm for Peak Detection in ChIP-Seq
Data
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.