findComplexFeaturesPP: A helper function to perform peak picking on the complex...

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

Description

A helper function to perform peak picking on the complex features detected by the sliding-window approach.

Usage

findComplexFeaturesPP(traces.obj, complexFeaturesSW, smoothing_length,
  rt_height)

Arguments

traces.obj	An object of type traces.obj.
complexFeaturesSW	An object of type complexFeaturesSW that is a list containing the following: feature data.table containing complex feature candidates in the following format: subgroup The protein_ids of the feature separated by semi-colons. left_sw The left boundary of the sliding-window feature. right_sw The right boundary of the sliding-window feature. score The intra-sliding-window-feature correlation. window.size The window.size used when running this function. corr.cutoff The corr.cutoff used when running this function.
smoothing_length	Integer length of savitzgy-golay filter.

Value

An object of type complexFeaturesPP that is a list containing the following:

• feature data.table containing complex feature candidates in the following format:

  • subgroup The protein_ids of the feature separated by semi-colons.

  • left_sw The left boundary of the sliding-window feature.

  • right_sw The right boundary of the sliding-window feature.

  • score The intra-sliding-window-feature correlation.

  • n_subunits The number of protein_ids in the sliding-window feature.

  • apax The apex of the selected peak by the peak-picker.

  • left_pp The left boundary of the selected peak by the peak-picker.

  • right_pp The right boundary of the selected peak by the peak-picker.

  • area The area (entire complex) of the selected peak by the peak-picker.

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