Disk-Based Implementation of PeakSegFPOP

Disk-based implementation of Functional Pruning Optimal Partitioning with up-down constraints for single-sample peak calling (independently for each sample and genomic problem), can handle huge data sets (10^7 or more).


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install.packages("PeakSegDisk")

2018.11.28 by Toby Dylan Hocking, a month ago


Browse source code at https://github.com/cran/PeakSegDisk


Authors: Toby Dylan Hocking


Documentation:   PDF Manual  


GPL-3 license


Imports data.table, parallel

Suggests testthat, ggplot2, penaltyLearning


See at CRAN