MRMFeatureSelectorQMIP

class pyopenms.MRMFeatureSelectorQMIP(*args, **kwargs)

Bases: object

Select MRM features using Quadratic Mixed Integer Programming (QMIP) This class selects MRMFeatures based on relative retention time using a quadratic mixed integer programming formulation. The method optimizes feature selection while maintaining retention time consistency between neighboring transitions. Example usage: .. code-block:: python from pyopenms import * # Load features features = FeatureMap() FeatureXMLFile().load(“features.featureXML”, features) # Configure parameters params = SelectorParameters() params.nn_threshold = 4 params.optimal_threshold = 0.5 # Run QMIP selection selector = MRMFeatureSelectorQMIP() selected = FeatureMap() selector.selectMRMFeature(features, selected, params)

__init__(self) → None

__init__(self, arg: pyopenms._pyopenms_analysis.MRMFeatureSelectorQMIP, /) → None

Attributes

selectMRMFeature

selectMRMFeature