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MRMRTNormalizer.h
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1// Copyright (c) 2002-present, OpenMS Inc. -- EKU Tuebingen, ETH Zurich, and FU Berlin
2// SPDX-License-Identifier: BSD-3-Clause
3//
4// --------------------------------------------------------------------------
5// $Maintainer: George Rosenberger $
6// $Authors: George Rosenberger, Hannes Roest $
7// --------------------------------------------------------------------------
8
9#pragma once
10
11#include <OpenMS/config.h>
12
13#include <cstddef> // for size_t & ptrdiff_t
14#include <vector>
15#include <string>
16
17namespace OpenMS
18{
19
31 class OPENMS_DLLAPI MRMRTNormalizer
32 {
33
34protected:
35
47 static int jackknifeOutlierCandidate_(const std::vector<double>& x, const std::vector<double>& y);
48
60 static int residualOutlierCandidate_(const std::vector<double>& x, const std::vector<double>& y);
61
62public:
63
89 static std::vector<std::pair<double, double> > removeOutliersRANSAC(const std::vector<std::pair<double, double> >& pairs,
90 double rsq_limit,
91 double coverage_limit,
92 size_t max_iterations,
93 double max_rt_threshold,
94 size_t sampling_size);
95
122 static std::vector<std::pair<double, double> > removeOutliersIterative(const std::vector<std::pair<double, double> >& pairs,
123 double rsq_limit,
124 double coverage_limit,
125 bool use_chauvenet,
126 const std::string& method);
127
134 static double chauvenet_probability(const std::vector<double>& residuals, int pos);
135
142 static bool chauvenet(const std::vector<double>& residuals, int pos);
143
156 static bool computeBinnedCoverage(const std::pair<double,double> & rtRange,
157 const std::vector<std::pair<double, double> > & pairs,
158 int nrBins,
159 int minPeptidesPerBin,
160 int minBinsFilled);
161
162 };
163
164}
165
The MRMRTNormalizer will find retention time peptides in data.
Definition MRMRTNormalizer.h:32
static std::vector< std::pair< double, double > > removeOutliersIterative(const std::vector< std::pair< double, double > > &pairs, double rsq_limit, double coverage_limit, bool use_chauvenet, const std::string &method)
This function removes potential outliers in a linear regression dataset.
static bool chauvenet(const std::vector< double > &residuals, int pos)
This function computes Chauvenet's criterion for a vector and a value whose position is submitted.
static std::vector< std::pair< double, double > > removeOutliersRANSAC(const std::vector< std::pair< double, double > > &pairs, double rsq_limit, double coverage_limit, size_t max_iterations, double max_rt_threshold, size_t sampling_size)
This function removes potential outliers in a linear regression dataset.
static int residualOutlierCandidate_(const std::vector< double > &x, const std::vector< double > &y)
This function computes a candidate outlier peptide by computing the residuals of all points to the li...
static int jackknifeOutlierCandidate_(const std::vector< double > &x, const std::vector< double > &y)
This function computes a candidate outlier peptide by iteratively leaving one peptide out to find the...
static bool computeBinnedCoverage(const std::pair< double, double > &rtRange, const std::vector< std::pair< double, double > > &pairs, int nrBins, int minPeptidesPerBin, int minBinsFilled)
Computes coverage of the RT normalization peptides over the whole RT range, ensuring that each bin ha...
static double chauvenet_probability(const std::vector< double > &residuals, int pos)
This function computes Chauvenet's criterion probability for a vector and a value whose position is s...
Main OpenMS namespace.
Definition openswathalgo/include/OpenMS/OPENSWATHALGO/DATAACCESS/ISpectrumAccess.h:19