filterByMaxCorr: Filter peptides for having at least one high correlating...

In CCprofiler/CCprofiler: Complex feature detection using SEC protein chromatograms.

Description

Filter peptides for having at least one high correlating sibling peptide

Usage

filterByMaxCorr(traces, cutoff = 0.85, plot = FALSE, PDF = FALSE,
  name = "maxCorrHist", ...)

Arguments

traces	Object of class traces.
cutoff	Numeric between 0 and 1. Minimum correlation of a peptide width any sibling peptide.
plot	logical,wether to print SibPepCorr density plot to R console. Deafult is FALSE.
PDF	logical, wether to print SibPepCorr density plot to a PDF file. Deafult is FALSE.
name	Character string with name of the plot, only used if 'PDF=TRUE.PDF file is saved under name.pdf. Default is "maxCorrHist".
acrossConditions	logical, if traces across replicates and conditions should be integrated for filtering to ensure minimal data loss. Deafult is TRUE.

Value

Object of class traces filtered for peptide correlation.

CCprofiler/CCprofiler documentation built on May 19, 2021, 7:40 p.m.