peakPick: Peak Picking Methods Inspired by Biological Data

Biologically inspired methods for detecting peaks in one-dimensional data, such as time series or genomics data. The algorithms were originally designed by Weber, Ramachandran, and Henikoff, see documentation.

Author
Paal O. Westermark
Date of publication
2015-12-04 15:40:34
Maintainer
Paal O. Westermark <pal-olof.westermark@charite.de>
License
MIT + file LICENSE
Version
0.11

View on CRAN

Man pages

detect.spikes
Detects spikes in series of numbers.
helperpeak
helper function for small peak elimination
keepmax
Eliminates peak pairs too close to each other.
peakpick
Identifies smooth peaks in series of numbers.
scaledrow
Helper functions for computing scaled peaks
smallpeaks
delete small peaks from vector with peak candidates

Files in this package

peakPick
peakPick/inst
peakPick/inst/doc
peakPick/inst/doc/peakPick-vignette.R
peakPick/inst/doc/peakPick-vignette.html
peakPick/inst/doc/peakPick-vignette.Rmd
peakPick/NAMESPACE
peakPick/R
peakPick/R/peakpicking.R
peakPick/vignettes
peakPick/vignettes/peakPick-vignette.Rmd
peakPick/MD5
peakPick/build
peakPick/build/vignette.rds
peakPick/DESCRIPTION
peakPick/man
peakPick/man/smallpeaks.Rd
peakPick/man/keepmax.Rd
peakPick/man/detect.spikes.Rd
peakPick/man/scaledrow.Rd
peakPick/man/helperpeak.Rd
peakPick/man/peakpick.Rd
peakPick/LICENSE