Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data

Generalized Functional Pruning Optimal Partitioning (GFPOP) for Constrained Changepoint Detection in Genomic Data

We describe a new algorithm and R package for peak detection in genomic data sets using constrained changepoint models. These detect changes from background to peak regions by imposing the constraint that the mean should alternately increase then decrease. An existing algorithm for this problem exis...

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Bibliographic Details
Main Authors: Toby Dylan Hocking, Guillem Rigaill, Paul Fearnhead, Guillaume Bourque
Format: Article
Language:English
Published: Foundation for Open Access Statistics 2022-02-01
Series:Journal of Statistical Software
Subjects:
dynamic programming
optimal changepoint detection
peak detection
genomic data
r.
Online Access:https://www.jstatsoft.org/index.php/jss/article/view/3564

Internet

https://www.jstatsoft.org/index.php/jss/article/view/3564

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