Quantitation-related classes. More...

Collaboration diagram for Quantitation:

Classes
class	ILPDCWrapper
	ILP-based decharging: pick the maximum-log-score subset of charge-pair edges that yields a consistent per-feature charge assignment. More...

class	ConsensusMapNormalizerAlgorithmQuantile
	Quantile-normalisation of feature intensities across the maps of a ConsensusMap. More...

class	ConsensusMapNormalizerAlgorithmThreshold
	Intensity normalisation of a ConsensusMap by averaging per-feature intensity ratios against a reference map. More...

class	ElutionPeakDetection
	Extracts chromatographic peaks from a mass trace. More...

class	FeatureFinderMultiplexAlgorithm
	Identification-free quantitative feature finder for SILAC / Dimethyl / ICPL-style label-pair experiments. More...

class	FeatureHypothesis
	Internal structure used in FeatureFindingMetabo that keeps track of a feature hypothesis (isotope group hypothesis). More...

class	FeatureFindingMetabo
	Method for the assembly of mass traces belonging to the same isotope pattern, i.e., that are compatible in retention times, mass-to-charge ratios, and isotope abundances. More...

class	MassTraceDetection
	A mass trace extraction method that gathers peaks similar in m/z and moving along retention time. More...

class	AbsoluteQuantitationStandards
	Bridges sample-level concentration tables with the FeatureMap output of a feature finder, for building calibration curves used in absolute quantitation. More...

Detailed Description

Quantitation-related classes.

Classes