[experimental class] given a peptide quantitation, infer corresponding protein quantities More...

#include <OpenMS/ANALYSIS/QUANTITATION/ProteinInference.h>

Public Types
typedef Peak2D::IntensityType	IntensityType

Public Member Functions
	ProteinInference ()
	Constructor. More...

	ProteinInference (const ProteinInference &cp)
	copy constructor More...

ProteinInference &	operator= (const ProteinInference &rhs)
	assignment operator More...

void	infer (ConsensusMap &consensus_map, const UInt reference_map)
	given a peptide quantitation, infer corresponding protein quantities More...

Protected Member Functions
void	infer_ (ConsensusMap &consensus_map, const size_t protein_idenfication_index, const UInt reference_map)

bool	sortByUnique_ (std::vector< PeptideHit > &peptide_hits_local, const bool is_higher_score_better)

Detailed Description

[experimental class] given a peptide quantitation, infer corresponding protein quantities

Infers protein ratios from peptide ratios (currently using unique peptides only). Use the IDMapper class to add protein and peptide information to a quantitative ConsensusMap prior to this step.

Member Typedef Documentation

◆ IntensityType

typedef Peak2D::IntensityType IntensityType

Constructor & Destructor Documentation

◆ ProteinInference() [1/2]

ProteinInference ( )

Constructor.

◆ ProteinInference() [2/2]

ProteinInference ( const ProteinInference & cp )

copy constructor

Member Function Documentation

◆ infer()

void infer	(	ConsensusMap &	consensus_map,
		const UInt	reference_map
	)

given a peptide quantitation, infer corresponding protein quantities

Infers protein ratios from peptide ratios (currently using unique peptides only). Use the IDMapper class to add protein and peptide information to a quantitative ConsensusMap prior to this step.

Parameters

consensus_map	Peptide quantitation with ProteinIdentifications attached, where Protein quantitation will be attached
reference_map	Index of (iTRAQ) reference channel within the consensus map

Exceptions

Exception::MissingInformation if Protein/PeptideIdentifications are missing

◆ infer_()

void infer_	(	ConsensusMap &	consensus_map,
		const size_t	protein_idenfication_index,
		const UInt	reference_map
	)

protected

◆ operator=()

ProteinInference& operator= ( const ProteinInference & rhs )

assignment operator

◆ sortByUnique_()

bool sortByUnique_	(	std::vector< PeptideHit > &	peptide_hits_local,
		const bool	is_higher_score_better
	)