OpenSwath::Scoring Namespace Reference

Scoring functions used by MRMScoring. More...

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

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Detailed Description

Scoring functions used by MRMScoring.

Many helper functions to calculate crosscorrelations between data

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Typedef Documentation

typedef std::map<int, double> XCorrArrayType

Cross Correlation array.

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Function Documentation

OPENSWATHALGO_DLLAPI XCorrArrayType OpenSwath::Scoring::calcxcorr	(	std::vector< double > &	data1,
		std::vector< double > &	data2,
		bool	normalize
	)

Calculate crosscorrelation on std::vector data.

OPENSWATHALGO_DLLAPI XCorrArrayType OpenSwath::Scoring::calcxcorr_new	(	std::vector< double > &	data1,
		std::vector< double > &	data2,
		int	maxdelay,
		int	lag
	)

Calculate crosscorrelation on std::vector data without normalization.

OPENSWATHALGO_DLLAPI void OpenSwath::Scoring::normalize_sum	(	double	x[],
		unsigned int	n
	)

divide each element of x by the sum of the vector

Referenced by MRMFeatureFinderScoring::scorePeakgroups_().

OPENSWATHALGO_DLLAPI XCorrArrayType OpenSwath::Scoring::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 double OpenSwath::Scoring::RMSD	(	double	x[],
		double	y[],
		int	n
	)

Fxn "deltaRatioSum" from mQuest to calculate similarity between library intensity and experimental ones.

OPENSWATHALGO_DLLAPI void OpenSwath::Scoring::standardize_data

(

std::vector< double > &

data

)

Standardize a vector (subtract mean, divide by standard deviation).

OPENSWATHALGO_DLLAPI XCorrArrayType::iterator OpenSwath::Scoring::xcorrArrayGetMaxPeak

(

XCorrArrayType &

array

)

Find best peak in an cross-correlation (highest apex).