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 <firstname.lastname@example.org>|
|License||MIT + file LICENSE|
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