MAPD: Peak detection combining wavelet transform and mass...

In hcji/MAPD: Wavelet-based Peak Detection Assisted by Mass

Description

MAPD is a peak detection method, which combines wavelet transform and mass spectrometry information. The main purpose is to identify whether overlapped peaks exist and whether they are true positive. If the overlapped peaks are true peaks, MAPD can also resolve them and calculate their peak heights, widths and areas respectively.

Usage

(pic, scales = 1:20, SNR.Th = 5, amp.Th = 0, PeakRange = 10, Filter = TRUE, winSize = 50, FitIter = 0)

Arguments

pic	A pure ion chromatogram with rt, intensity and mz values.
scales	Scales of CWT
SNR.Th	Minimum signal to noise ratio.
amp.Th	Minimum intensity of a peak.
PeakRange	The minimum scale range of the peak.
Filter	Whether filter the peak with m/z values.
pval.Th	P-value of the t-test.
FitIter	Number of iterations of GA, if 0, no fitness.

Value

Result of peak detection after removing false positive.

Examples

pic <- read.csv(system.file('example_pic.csv', package = 'MAPD'), row.names=1)
peaks <- MAPD(pic)

hcji/MAPD documentation built on May 14, 2019, 6:11 a.m.