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PILISScoring Class Reference
[Identification]

This class actually implements the E-value based scoring of PILIS. More...

#include <OpenMS/ANALYSIS/ID/PILISScoring.h>

Inheritance diagram for PILISScoring:
DefaultParamHandler

List of all members.

Public Member Functions

PILISScoringoperator= (const PILISScoring &source)
constructors and destructors

 PILISScoring ()
 default constructor
 PILISScoring (const PILISScoring &source)
 copy constructor
virtual ~PILISScoring ()
 destructor
Accessors

void getScores (std::vector< PeptideIdentification > &ids)
 performs an ProteinIdentification run on a PeakMap
void getScore (PeptideIdentification &id)
 performs an ProteinIdentification run on a PeakSpectrum

Protected Member Functions

void getFitParameter_ (double &slope, double &intercept, const std::vector< double > &scores, double threshold)
void getSurvivalFunction_ (Map< UInt, double > &points, std::vector< DPosition< 2 > > &survival_function)
void getScore_ (PeptideIdentification &id, double global_slope, double global_intercept)

Detailed Description

This class actually implements the E-value based scoring of PILIS.

The method which is used to generate the E-values are adapted from

David Fenyo and Ronald C. Beavis Anal. Chem. 2003, 75, 768-774 A Method for Assessing the Statistical Significance of Mass Spectrometry-Based Protein Identifications Using General Scoring Schemes.

The bases for the calculation are the similarity scores of the simulated and experimental spectra. The scores are tranformed into a discrete score distribution and from this distribution E-values are calculated for the peptide hits.

If more than one spectrum is given two E-values can be calculated, one which gives the significance of the peptide hit considering only one spectrum, and the other also considering also all other hits of all other spectra. The second type of scoring is somewhat more accurate.

Parameters of this class are:

NameTypeDefaultRestrictionsDescription
use_local_scoring int1  If set to 1, a E-Value of an identification run of one spectrum is used additionally
survival_function_bin_size int20  Bin size of the survival function
global_linear_fitting_threshold float0.1  Fitting threshold of the survival function of the global E-Value calculation
local_linear_fitting_threshold float0.5  Fitting threshold of the survival function of the local E-Value calculation
score_default_value float100000000000  If no score can be assigned use this one

Note:

Constructor & Destructor Documentation

PILISScoring (  ) 

default constructor

PILISScoring ( const PILISScoring source  ) 

copy constructor

virtual ~PILISScoring (  )  [virtual]

destructor


Member Function Documentation

void getFitParameter_ ( double slope,
double intercept,
const std::vector< double > &  scores,
double  threshold 
) [protected]
void getScore ( PeptideIdentification id  ) 

performs an ProteinIdentification run on a PeakSpectrum

void getScore_ ( PeptideIdentification id,
double  global_slope,
double  global_intercept 
) [protected]
void getScores ( std::vector< PeptideIdentification > &  ids  ) 

performs an ProteinIdentification run on a PeakMap

void getSurvivalFunction_ ( Map< UInt, double > &  points,
std::vector< DPosition< 2 > > &  survival_function 
) [protected]
PILISScoring& operator= ( const PILISScoring source  ) 

OpenMS / TOPP release 1.10.0 Documentation generated on Thu Mar 7 2013 09:42:49 using doxygen 1.7.1