The spectra preprocessors filter the spectra with different criteria. More...

Collaboration diagram for Spectra Preprocessors:

Classes
class	BernNorm
	BernNorm scales the peaks by ranking them and then scaling them according to rank. More...

class	MarkerMower
	MarkerMower uses PeakMarker to find peaks, those that are not marked get removed. More...

class	NLargest
	NLargest removes all but the n largest peaks. More...

class	Normalizer
	Normalizes the peak intensities spectrum-wise. More...

class	ParentPeakMower
	ParentPeakMower gets rid of high peaks that could stem from unfragmented precursor ions. More...

class	Scaler
	Scaler scales the peak by ranking the peaks and assigning intensity according to rank. More...

class	SqrtMower
	Scales the intensity of peaks to the sqrt. More...

class	ThresholdMower
	ThresholdMower removes all peaks below a threshold. More...

class	WindowMower
	WindowMower augments the highest peaks in a sliding or jumping window. More...

Detailed Description

The spectra preprocessors filter the spectra with different criteria.

The preprocessors are able to handle single spectra as well as whole MSExperiments (PeakMap). For single spectra this can be achieved by calling the filterSpectrum or filterPeakSpectrum functions. Additionally PeakMaps can be filtered using the filterPeakMap function. The details of the filters and their options are described in the class documentation respectively.

Classes

Detailed Description