deconvNoise.DNF: Spectral noise filtration using dynamic noise filter

In WMBEdmands/compMS2Miner: an automatable metabolite identification, visualization and data-sharing R package for high-resolution LC-MS datasets

Description

uses the dynamic noise filtration algorithm adapted from the method described in Xu H. and Frietas M. "A Dynamic Noise Level Algorithm for Spectral Screening of Peptide MS/MS Spectra" 2010 BMC Bioinformatics.

Usage

deconvNoise.DNF(object, ...)

Arguments

DNF.	numeric dynamic noise filter minimum signal to noise threshold (default = 2), calculated as the ratio between the linear model predicted intensity value and the actual intensity.
minPeaks.	integer minimum number of signal peaks following dynamic noise filtration (default = 1).
maxPeaks.	integer maximum number of signal peaks the function will continue until both the minimum DNF signal to noise ratio is exceeding and the number of peaks is lower than the maximum (default = 60).
minInt.	numeric minimum intensity to commence the dynamic noise filter algorithm. Low values will increase computation time and increase the chance that the DNF algorithm will terminate prematurely (default = 250).
verbose	logical if TRUE display progress bars.

Value

noise filtered MS2 spectra.

Source

Xu H. and Frietas M. "A Dynamic Noise Level Algorithm for Spectral Screening of Peptide MS/MS Spectra" 2010 BMC Bioinformatics.

WMBEdmands/compMS2Miner documentation built on May 9, 2019, 10:04 p.m.