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PeakIntensityPredictor.h
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35 
36 #ifndef OPENMS_ANALYSIS_PIP_PEAKINTENSITYPREDICTOR_H
37 #define OPENMS_ANALYSIS_PIP_PEAKINTENSITYPREDICTOR_H
38 
41 
42 namespace OpenMS
43 {
44 
65  class OPENMS_DLLAPI PeakIntensityPredictor
66  {
67 
68 public:
69 
71 
75  virtual ~PeakIntensityPredictor();
77 
79  double predict(const AASequence & sequence);
80 
89  double predict(const AASequence & sequence, std::vector<double> & add_info);
90 
92  std::vector<double> predict(const std::vector<AASequence> & sequences);
93 
103  std::vector<double> predict(const std::vector<AASequence> & sequences, std::vector<std::vector<double> > & add_info);
104 
105 private:
106 
108  double map_(const std::vector<double> & data);
110  Size findWinner_(const std::vector<double> & data);
112  std::vector<double> calculateAddInfo_(const std::vector<double> & data);
113 
139  std::vector<double> getPropertyVector_(const AASequence & sequence);
140 
143 
147  PeakIntensityPredictor & operator=(const PeakIntensityPredictor & peakIntensityPredictor);
148 
149  };
150 
151 } // namespace OpenMS
152 
153 #endif // OPENMS_ANALYSIS_PIP_PEAKINTENSITYPREDICTOR_H
Representation of a peptide/protein sequence.
Definition: AASequence.h:108
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:47
Predict peak heights of peptides based on Local Linear Map model.
Definition: PeakIntensityPredictor.h:65
Trained Local Linear Map (LLM) model for peak intensity prediction.
Definition: LocalLinearMap.h:57
LocalLinearMap llm_
Local Linear Map model.
Definition: PeakIntensityPredictor.h:142
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