OpenMS
MultiplexFilteringCentroided.h
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31 // $Maintainer: Lars Nilse $
32 // $Authors: Lars Nilse $
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34 
35 #pragma once
36 
46 
47 #include <vector>
48 #include <algorithm>
49 #include <iostream>
50 
51 namespace OpenMS
52 {
65  class OPENMS_DLLAPI MultiplexFilteringCentroided :
66  public MultiplexFiltering
67  {
68 public:
85  MultiplexFilteringCentroided(const MSExperiment& exp_centroided, const std::vector<MultiplexIsotopicPeakPattern>& patterns, int isotopes_per_peptide_min, int isotopes_per_peptide_max, double intensity_cutoff, double rt_band, double mz_tolerance, bool mz_tolerance_unit, double peptide_similarity, double averagine_similarity, double averagine_similarity_scaling, String averagine_type="peptide");
86 
93  std::vector<MultiplexFilteredMSExperiment> filter();
94 
95  };
96 
97 }
98 
In-Memory representation of a mass spectrometry run.
Definition: MSExperiment.h:72
filters centroided data for peak patterns
Definition: MultiplexFilteringCentroided.h:67
std::vector< MultiplexFilteredMSExperiment > filter()
filter for patterns (generates a filter result for each of the patterns)
MultiplexFilteringCentroided(const MSExperiment &exp_centroided, const std::vector< MultiplexIsotopicPeakPattern > &patterns, int isotopes_per_peptide_min, int isotopes_per_peptide_max, double intensity_cutoff, double rt_band, double mz_tolerance, bool mz_tolerance_unit, double peptide_similarity, double averagine_similarity, double averagine_similarity_scaling, String averagine_type="peptide")
constructor
base class for filtering centroided and profile data for peak patterns
Definition: MultiplexFiltering.h:75
A more convenient string class.
Definition: String.h:60
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:48