35 #ifndef OPENMS_ANALYSIS_ID_IDDECOYPROBABILITY_H
36 #define OPENMS_ANALYSIS_ID_IDDECOYPROBABILITY_H
81 void apply(std::vector<PeptideIdentification> & prob_ids,
82 const std::vector<PeptideIdentification> & fwd_ids,
83 const std::vector<PeptideIdentification> & rev_ids);
85 void apply(std::vector<PeptideIdentification> & ids);
105 max_intensity(rhs.max_intensity),
106 diff_score(rhs.diff_score),
107 min_score(rhs.min_score),
108 max_score(rhs.max_score),
109 max_intensity_bin(rhs.max_intensity_bin)
134 void normalizeBins_(
const std::vector<DoubleReal> & scores, std::vector<DoubleReal> & binned,
Transformation_ & trafo);
144 void generateDistributionImage_(
const std::vector<DoubleReal> & ids,
const String & formula,
const String & filename);
146 void generateDistributionImage_(
const std::vector<DoubleReal> & all_ids,
const Transformation_ & all_trans,
const String & fwd_formula,
const String & rev_formula,
const String & filename);
149 void apply_(std::vector<PeptideIdentification> & ids,
const std::vector<DoubleReal> & rev_scores,
const std::vector<DoubleReal> & fwd_scores,
const std::vector<DoubleReal> & all_scores);
155 #endif // OPENMS_ANALYSIS_ID_IDDECOYPROBABILITY_H
A more convenient string class.
Definition: String.h:56
IDDecoyProbability calculates probabilities using decoy approach.
Definition: IDDecoyProbability.h:58
size_t Size
Size type e.g. used as variable which can hold result of size()
Definition: Types.h:144
struct of parameters of a gaussian distribution
Definition: GaussFitter.h:71
struct to represent the parameters of a gamma distribution
Definition: GammaDistributionFitter.h:72
A base class for all classes handling default parameters.
Definition: DefaultParamHandler.h:90