/usr/include/OpenMS/TRANSFORMATIONS/RAW2PEAK/OptimizePeakDeconvolution.h is in libopenms-dev 1.11.1-5.
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// OpenMS -- Open-Source Mass Spectrometry
// --------------------------------------------------------------------------
// Copyright The OpenMS Team -- Eberhard Karls University Tuebingen,
// ETH Zurich, and Freie Universitaet Berlin 2002-2013.
//
// This software is released under a three-clause BSD license:
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// notice, this list of conditions and the following disclaimer.
// * Redistributions in binary form must reproduce the above copyright
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// * Neither the name of any author or any participating institution
// may be used to endorse or promote products derived from this software
// without specific prior written permission.
// For a full list of authors, refer to the file AUTHORS.
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// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
// AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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// ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
//
// --------------------------------------------------------------------------
// $Maintainer: Alexandra Zerck $
// $Authors: $
// --------------------------------------------------------------------------
//
#ifndef OPENMS_TRANSFORMATIONS_RAW2PEAK_OPTIMIZEPEAKDECONVOLUTION_H
#define OPENMS_TRANSFORMATIONS_RAW2PEAK_OPTIMIZEPEAKDECONVOLUTION_H
#include <OpenMS/TRANSFORMATIONS/RAW2PEAK/PeakShape.h>
#include <OpenMS/TRANSFORMATIONS/RAW2PEAK/OptimizePick.h>
#include <gsl/gsl_vector.h>
#include <gsl/gsl_multifit_nlin.h>
#include <gsl/gsl_blas.h>
#include <OpenMS/DATASTRUCTURES/DefaultParamHandler.h>
//#define DEBUG_DECONV
#include <iostream>
#ifdef DEBUG_DECONV
#include <iostream>
#include <fstream>
#endif
#include <vector>
namespace OpenMS
{
namespace OptimizationFunctions
{
/**
@brief Class for the penalty factors used during the optimization.
A great deviation (squared deviation) of a peak shape's position or its left or right width parameter can be penalised.
During the optimization negative heights may occur, they are penalised as well.
*/
struct OPENMS_DLLAPI PenaltyFactorsIntensity :
public PenaltyFactors
{
PenaltyFactorsIntensity() :
PenaltyFactors(), height(0){}
PenaltyFactorsIntensity(const PenaltyFactorsIntensity & p) :
PenaltyFactors(p), height(p.height) {}
inline PenaltyFactorsIntensity & operator=(const PenaltyFactorsIntensity & p)
{
height = p.height;
pos = p.pos;
lWidth = p.lWidth;
rWidth = p.rWidth;
return *this;
}
~PenaltyFactorsIntensity(){}
DoubleReal height;
};
} //namespace OptimizationFunctions
/**
@brief This class provides the deconvolution of peak regions using non-linear optimization.
Given a vector of peak shapes, this class optimizes all peak shapes parameters using a non-linear optimization.
For the non-linear optimization we use the Levenberg-Marquardt algorithm provided by the gsl.
There are a few constraints for the parameters: the positions are equidistant according to the peptide
mass rule, e.g. two consecutive isotopic peaks are 1.003/charge away from each other. Besides the
peaks have all the same left and right width, respectively.
@htmlinclude OpenMS_OptimizePeakDeconvolution.parameters
*/
class OPENMS_DLLAPI OptimizePeakDeconvolution :
public DefaultParamHandler
{
public:
/** @name Type definitions
*/
//@{
typedef std::vector<Peak1D> RawDataVector;
typedef RawDataVector::iterator PeakIterator;
//@}
/**
@brief Class containing the data needed for optimization.
*/
struct Data
{
std::vector<PeakShape> peaks;
std::vector<DoubleReal> positions;
std::vector<DoubleReal> signal;
OptimizationFunctions::PenaltyFactorsIntensity penalties;
Int charge;
};
/** @name Constructors and Destructor
*/
//@{
///Constructor
OptimizePeakDeconvolution();
/// Copy-Constructor
OptimizePeakDeconvolution(const OptimizePeakDeconvolution & opt) :
DefaultParamHandler(opt),
penalties_(opt.penalties_),
charge_(opt.charge_){}
///Destructor
virtual ~OptimizePeakDeconvolution(){}
//@}
/** @name Assignment
*/
//@{
inline OptimizePeakDeconvolution & operator=(const OptimizePeakDeconvolution & opt)
{
DefaultParamHandler::operator=(opt);
penalties_ = opt.penalties_;
charge_ = opt.charge_;
return *this;
}
//@}
/** Accessors
*/
//@{
/// Non-mutable access to the penalty parameter
inline const OptimizationFunctions::PenaltyFactorsIntensity & getPenalties() const { return penalties_; }
/// Mutable access to the penalty parameter
inline void setPenalties(const OptimizationFunctions::PenaltyFactorsIntensity & penalties)
{
penalties_ = penalties;
param_.setValue("penalties:left_width", penalties_.lWidth);
param_.setValue("penalties:right_width", penalties_.rWidth);
param_.setValue("penalties:height", penalties_.height);
param_.setValue("penalties:position", penalties_.pos);
}
/// Non-mutable access to the charge
inline Int getCharge() const { return charge_; }
/// Mutable access to the charge
inline void setCharge(const Int charge) { charge_ = charge; }
//@}
/// Performs a nonlinear optimization of the peaks that belong to the current isotope pattern
bool optimize(std::vector<PeakShape> & peaks, Data & data);
protected:
// Penalty factors for some parameter in the optimization
OptimizationFunctions::PenaltyFactorsIntensity penalties_;
/// Charge state of the current isotope pattern
Int charge_;
/// distance between two isotopic peaks
static const DoubleReal dist_;
/// A function to determine the number of peaks that lie in the current m/z interval given the distance between the peaks by the current charge state.
Size getNumberOfPeaks_(Int charge, std::vector<PeakShape> & temp_shapes, Data & data);
// After each iteration the fwhm of all peaks is checked whether it isn't too large
bool checkFWHM_(std::vector<PeakShape> & peaks, gsl_multifit_fdfsolver * & fit);
void updateMembers_();
}; // class
} // namespace OpenMS
#endif
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