Scoring.h File Reference

#include <numeric>
#include <map>
#include <vector>
#include <OpenMS/ANALYSIS/OPENSWATH/OPENSWATHALGO/OpenSwathAlgoConfig.h>

Go to the source code of this file.

Namespaces
namespace	OpenSwath
namespace	OpenSwath::Scoring
	Scoring functions used by MRMScoring.
Typedefs
Type defs
typedef std::map< int, double >	XCorrArrayType
	Cross Correlation array.
Functions
Helper functions
OPENSWATHALGO_DLLAPI double	RMSD (double x[], double y[], int n)
	Fxn "deltaRatioSum" from mQuest to calculate similarity between library intensity and experimental ones.
OPENSWATHALGO_DLLAPI XCorrArrayType	calcxcorr (std::vector< double > &data1, std::vector< double > &data2, bool normalize)
	Calculate crosscorrelation on std::vector data.
OPENSWATHALGO_DLLAPI XCorrArrayType	normalizedCalcxcorr (std::vector< double > &data1, std::vector< double > &data2, int maxdelay, int lag)
	Calculate crosscorrelation on std::vector data (which is first normalized).
OPENSWATHALGO_DLLAPI XCorrArrayType	calcxcorr_new (std::vector< double > &data1, std::vector< double > &data2, int maxdelay, int lag)
	Calculate crosscorrelation on std::vector data without normalization.
OPENSWATHALGO_DLLAPI XCorrArrayType::iterator	xcorrArrayGetMaxPeak (XCorrArrayType &array)
	Find best peak in an cross-correlation (highest apex).
OPENSWATHALGO_DLLAPI void	standardize_data (std::vector< double > &data)
	Standardize a vector (subtract mean, divide by standard deviation).
OPENSWATHALGO_DLLAPI void	normalize_sum (double x[], unsigned int n)
	divide each element of x by the sum of the vector