peak_decision: Peak decision algorithm only designed for internal use

In mathiaskalxdorf/IceR: Requantification of label-free DDA proteomics data pre-analyzed by MaxQuant.

Peak decision algorithm only designed for internal use

Description

Peak decision algorithm only designed for internal use

Usage

peak_decision(
  features_select,
  peak_quant,
  samples,
  s,
  RT_correction_factors,
  mz_correction_factors,
  features_intensity_sample,
  Ioncount_sample,
  feature_with_background_intensity_sample,
  Ioncount_with_background_sample,
  peak_selected_sample,
  delta_mz,
  delta_rt,
  peak_min_ion_count,
  chunk = NULL,
  num_chunks = NULL,
  progress = T
)

Arguments

features_select	Features on which peak-selection should be performed
peak_quant	List of determined peaks per feature
samples	String vector of all samples
s	Integer indicating index of current sample
RT_correction_factors	RT corrections
mz_correction_factors	mz corrections
features_intensity_sample	features_intensity_sample
Ioncount_sample	Ioncount_sample
feature_with_background_intensity_sample	feature_with_background_intensity_sample
Ioncount_with_background_sample	Ioncount_with_background_sample
peak_selected_sample	peak_selected_sample
delta_mz	delta_mz
delta_rt	delta_rt
peak_min_ion_count	peak_min_ion_count
chunk	chunk
num_chunks	num_chunks
progress	Progressbar

Details

Peak decision algorithm

mathiaskalxdorf/IceR documentation built on Aug. 1, 2022, 8:03 a.m.