PeakSegDisk (2019.9.27)

0 users

Disk-Based Constrained Change-Point Detection.

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).

Maintainer: Toby Hocking
Author(s): Toby Dylan Hocking

License: GPL-3

Uses: data.table, ggplot2, testthat, knitr, future, future.apply

Released 2 months ago.

3 previous versions



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of PeakSegDisk yet. Want to be the first? Write one now.

Related packages:(20 best matches, based on common tags.)

Search for PeakSegDisk on google, google scholar, r-help, r-devel.

Visit PeakSegDisk on R Graphical Manual.