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PScore.h
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31 // $Maintainer: Timo Sachsenberg $
32 // $Authors: Timo Sachsenberg $
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34 
35 #ifndef OPENMS_ANALYSIS_RNPXL_PSCORE_H
36 #define OPENMS_ANALYSIS_RNPXL_PSCORE_H
37 
39 
40 #include <OpenMS/CONCEPT/Types.h>
41 #include <vector>
42 #include <map>
43 
44 namespace OpenMS
45 {
50 struct OPENMS_DLLAPI PScore
51 {
52  /* @brief calculate local (windowed) peak ranks.
53  * The peak rank is defined as the number of neighboring peaks in +/- (mz_window/2) that have higher intensity
54  * The result can be used to efficiently filter spectra for top 1..n peaks in mass windows
55  * @note: ranks are zero based (highest intensity peak in window has rank 0)
56  * @param mz m/z positions of the peaks
57  * @param intensities of the peaks
58  * @param mz_window window in Thomson centered at each peak
59  */
60  static std::vector<Size> calculateIntensityRankInMZWindow(const std::vector<double>& mz, const std::vector<double>& intensities, double mz_window);
61 
62  /* @brief precalculated, windowed peak ranks for a whole experiment.
63  * The peak rank is defined as the number of neighboring peaks in +/- (mz_window/2) that have higher intensity
64  * 1. Each spectrum is subdivided into windows of size @param mz_window.
65  * 2. For each window, peak ranks are assigned using calculateIntensityRankInMZWindow.
66  * 3. A rank map is returned
67  * @note: ranks are zero based (top element has rank 0)
68  * @param peak_map Fragment spectra used for rank calculation. Typically a peak map after removal of all MS1 spectra.
69  * @param mz_window window in Thomson centered at each peak
70  */
71  static std::vector<std::vector<Size> > calculateRankMap(const PeakMap& peak_map, double mz_window = 100);
72 
73  /* @brief Calculates spectra for peak level between min_level to max_level and stores them in the map
74  * A spectrum of peak level n retains the (n+1) top intensity peaks in a sliding mz_window centered at each peak.
75  * @note: levels are zero based (level 0 has only the top intensity peaks for each window, level 1 the top and second most intensive one)
76  * @note: min and max level are taken from the Andromeda publication but are similar to the AScore publication
77  */
78  static std::map<Size, PeakSpectrum > calculatePeakLevelSpectra(const PeakSpectrum& spec, const std::vector<Size>& ranks, Size min_level = 1, Size max_level = 9);
79 
80  /* @brief Computes the PScore for a vector of theoretical spectra
81  * Similar to Andromeda, a vector of theoretical spectra can be provided that e.g. contain loss spectra or higher charge spectra depending on the sequence.
82  * The best score obtained by scoring all those theoretical spectra against the experimental ones is returned.
83  * @param fragment_mass_tolerance mass tolerance for matching peaks
84  * @param fragment_mass_tolerance_unit_ppm whether Thomson or ppm is used
85  * @param peak_level_spectra spectra for different peak levels (=filtered by maximum rank).
86  * @param theo_spectra theoretical spectra as obtained e.g. from TheoreticalSpectrumGenerator
87  * @param mz_window window in Thomson centered at each peak
88  */
89  static double computePScore(double fragment_mass_tolerance, bool fragment_mass_tolerance_unit_ppm, const std::map<Size, PeakSpectrum>& peak_level_spectra, const std::vector<PeakSpectrum>& theo_spectra, double mz_window = 100.0);
90 
91  /* @brief Computes the PScore for a single theoretical spectrum
92  * @param fragment_mass_tolerance mass tolerance for matching peaks
93  * @param fragment_mass_tolerance_unit_ppm whether Thomson or ppm is used
94  * @param peak_level_spectra spectra for different peak levels (=filtered by maximum rank).
95  * @param theo_spectra theoretical spectra as obtained e.g. from TheoreticalSpectrumGenerator
96  * @param mz_window window in Thomson centered at each peak
97  */
98  static double computePScore(double fragment_mass_tolerance, bool fragment_mass_tolerance_unit_ppm, const std::map<Size, PeakSpectrum>& peak_level_spectra, const PeakSpectrum& theo_spectrum, double mz_window = 100.0);
99 
102  static double massCorrectionTerm(double mass);
103 
106  static double cleavageCorrectionTerm(Size cleavages, bool consecutive_cleavage);
107 
110  static double modificationCorrectionTerm(Size modifications);
111 };
112 
113 }
114 #endif
115 
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:47
The representation of a 1D spectrum.
Definition: MSSpectrum.h:67
Implementation of the PScore PSM scoring algorithm.
Definition: PScore.h:50
In-Memory representation of a mass spectrometry experiment.
Definition: MSExperiment.h:82
size_t Size
Size type e.g. used as variable which can hold result of size()
Definition: Types.h:128

OpenMS / TOPP release 2.3.0 Documentation generated on Tue Jan 9 2018 18:22:03 using doxygen 1.8.13