peakdetection: peak-pick based on previous EIC clusters generated by...

View source: R/internalProcessing.R

peakdetectionR Documentation

peak-pick based on previous EIC clusters generated by clustering

Description

peak-pick based on previous EIC clusters generated by clustering

Usage

peakdetection(
  msobject,
  minpeak,
  drtminpeak,
  drtmaxpeak,
  drtgap,
  recurs,
  weight,
  ended,
  sb,
  sn,
  minint,
  mslevel,
  cE
)

Arguments

msobject

msobject generated by clustering

minpeak

minimum number of measures to define a peak

drtminpeak

minimum RT length of a peak

drtmaxpeak

maximum RT length of a peak

drtgap

maximum RT gap to be filled

recurs

maximum number of peaks for a EIC

weight

weight for assigning measurements to a peak

ended

number of failures allowed when detecting peaks

sb

signal-to-base ration

sn

signal-to-noise ratio

minint

minimum intensity

mslevel

info to access msobject

cE

info to access msobject

Value

msobject

Author(s)

M Isabel Alcoriza-Balaguer <maribel_alcoriza@iislafe.es>

References

Peak-picking algorithm has been imported from enviPick R-package: https://cran.r-project.org/web/packages/enviPick/index.html


LipidMS documentation built on March 18, 2022, 7:14 p.m.