OpenMS
2.5.0
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High-level analysis like PeakPicking, Quantitation, Identification, MapAlignment. More...
Modules | |
SignalProcessing | |
Signal processing classes (noise estimation, noise filters, baseline filters) | |
PeakPicking | |
Classes for the transformation of raw ms data into peak data. | |
FeatureFinder | |
The feature detection algorithms. | |
MapAlignment | |
The map alignment algorithms. | |
FeatureGrouping | |
The feature grouping. | |
Identification | |
Protein and peptide identification classes. | |
Clustering | |
This class contains SpectraClustering classes These classes are components for clustering all kinds of data for which a distance relation, normalizable in the range of [0,1], is available. Mainly this will be data for which there is a corresponding CompareFunctor given (e.g. PeakSpectrum) that is yielding the similarity normalized in the range of [0,1] of such two elements, so it can easily converted to the needed distances. | |
Classes | |
class | FeatureDeconvolution |
An algorithm to decharge features (i.e. as found by FeatureFinder). More... | |
class | MetaboliteFeatureDeconvolution |
An algorithm to decharge small molecule features (i.e. as found by FeatureFinder). More... | |
class | PeakIntensityPredictor |
Predict peak heights of peptides based on Local Linear Map model. More... | |
High-level analysis like PeakPicking, Quantitation, Identification, MapAlignment.