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