80 void apply(std::vector<PeptideIdentification> & prob_ids,
81 const std::vector<PeptideIdentification> & fwd_ids,
82 const std::vector<PeptideIdentification> & rev_ids);
84 void apply(std::vector<PeptideIdentification> & ids);
104 max_intensity(rhs.max_intensity),
105 diff_score(rhs.diff_score),
106 min_score(rhs.min_score),
107 max_score(rhs.max_score),
108 max_intensity_bin(rhs.max_intensity_bin)
133 void normalizeBins_(
const std::vector<double> & scores, std::vector<double> & binned,
Transformation_ & trafo);
143 void generateDistributionImage_(
const std::vector<double> & ids,
const String & formula,
const String & filename);
145 void generateDistributionImage_(
const std::vector<double> & all_ids,
const Transformation_ & all_trans,
const String & fwd_formula,
const String & rev_formula,
const String & filename);
148 void apply_(std::vector<PeptideIdentification> & ids,
const std::vector<double> & rev_scores,
const std::vector<double> & fwd_scores,
const std::vector<double> & all_scores);
A more convenient string class.
Definition: String.h:57
IDDecoyProbability calculates probabilities using decoy approach.
Definition: IDDecoyProbability.h:57
Main OpenMS namespace.
Definition: FeatureDeconvolution.h:46
size_t Size
Size type e.g. used as variable which can hold result of size()
Definition: Types.h:127
struct of parameters of a Gaussian distribution
Definition: GaussFitter.h:63
struct to represent the parameters of a gamma distribution
Definition: GammaDistributionFitter.h:65
A base class for all classes handling default parameters.
Definition: DefaultParamHandler.h:91