OpenMS
2.6.0
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The feature detection algorithms. More...
Classes | |
class | FeatureFinder |
The main feature finder class. More... | |
class | FeatureFinderAlgorithmIsotopeWavelet |
Implements the isotope wavelet feature finder. More... | |
class | FeatureFinderAlgorithmMRM |
FeatureFinderAlgorithm for MRM experiments. More... | |
class | FeatureFinderAlgorithmPicked |
FeatureFinderAlgorithm for picked peaks. More... | |
class | Fitter1D |
Abstract base class for all 1D-dimensional model fitter. More... | |
class | InterpolationModel |
Abstract class for 1D-models that are approximated using linear interpolation. More... | |
class | ProductModel< D > |
Class for product models i.e. models with D independent dimensions. More... | |
class | FeatureFinderAlgorithmSH |
The Superhirn FeatureFinderAlgorithm. More... | |
class | FeatureFinderAlgorithmSHCtrl |
A facade for various Superhirn FeatureFinder classes. Use FeatureFinderAlgorithmSH instead. More... | |
The feature detection algorithms.
class OpenMS::ProductModel |
Class for product models i.e. models with D independent dimensions.
The predicted intensity is simply the product of the intensities in each dimension
Parameters of this class are:Name | Type | Default | Restrictions | Description |
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cutoff | float | 0.0 | Low intensity cutoff of the model. Peaks below this intensity are not considered part of the model. | |
RT | string | GaussModel | Name of the model used for this dimension | |
MZ | string | GaussModel | Name of the model used for this dimension | |
intensity_scaling | float | 1.0 | Scaling factor used to adjust the model distribution to the intensities of the data |