QScore : quality score for PeakGroup. This class is being updated. For now, simply it calculate the QScore using a fixed weight vector. The weight vector has been determined by logistic regression. But afterwards, the training part for the QScore should be added in here. Or other technique such as deep learning would be used. This class also contains tsv output function. The tsv file contains features of PeakGroups which are used for training. More...

#include <OpenMS/ANALYSIS/TOPDOWN/QScore.h>

Public Types
typedef FLASHDeconvHelperStructs::LogMzPeak	LogMzPeak

Static Public Member Functions
static float	getQScore (const PeakGroup *pg, int abs_charge)
	get QScore for a peak group of specific abs_charge More...

Static Private Member Functions
static std::vector< double >	toFeatureVector_ (const PeakGroup *pg, int abs_charge)
	convert a peak group to a feature vector for QScore calculation More...

Detailed Description

QScore : quality score for PeakGroup. This class is being updated. For now, simply it calculate the QScore using a fixed weight vector. The weight vector has been determined by logistic regression. But afterwards, the training part for the QScore should be added in here. Or other technique such as deep learning would be used. This class also contains tsv output function. The tsv file contains features of PeakGroups which are used for training.

Member Typedef Documentation

◆ LogMzPeak

typedef FLASHDeconvHelperStructs::LogMzPeak LogMzPeak

Member Function Documentation

◆ getQScore()

static float getQScore	(	const PeakGroup *	pg,
		int	abs_charge
	)

static

get QScore for a peak group of specific abs_charge

◆ toFeatureVector_()

static std::vector<double> toFeatureVector_	(	const PeakGroup *	pg,
		int	abs_charge
	)

staticprivate

convert a peak group to a feature vector for QScore calculation

Public Types