OfflinePrecursorIonSelection
- class pyopenms.OfflinePrecursorIonSelection
Bases:
objectCython implementation of _OfflinePrecursorIonSelection
- Documentation is available at http://www.openms.de/current_doxygen/html/classOpenMS_1_1OfflinePrecursorIonSelection.html
– Inherits from [‘DefaultParamHandler’]
- __init__()
Cython signature: void OfflinePrecursorIonSelection()
Cython signature: void OfflinePrecursorIonSelection(OfflinePrecursorIonSelection &)
Methods
Cython signature: void OfflinePrecursorIonSelection()
Cython signature: void createProteinSequenceBasedLPInclusionList(String include_, String rt_model_file, String pt_model_file, FeatureMap & precursors)
Cython signature: Param getDefaults() Returns the default parameters
Cython signature: SOLVER getLPSolver()
Cython signature: String getName() Returns the name
Cython signature: Param getParameters() Returns the parameters
Cython signature: libcpp_vector[String] getSubsections()
Cython signature: void makePrecursorSelectionForKnownLCMSMap(FeatureMap & features, MSExperiment & experiment, MSExperiment & ms2, libcpp_set[int] & charges_set, bool feature_based)
Cython signature: void setLPSolver(SOLVER solver)
Cython signature: void setName(const String &) Sets the name
Cython signature: void setParameters(Param & param) Sets the parameters
- createProteinSequenceBasedLPInclusionList()
Cython signature: void createProteinSequenceBasedLPInclusionList(String include_, String rt_model_file, String pt_model_file, FeatureMap & precursors)
- getDefaults()
Cython signature: Param getDefaults() Returns the default parameters
- getLPSolver()
Cython signature: SOLVER getLPSolver()
- getName()
Cython signature: String getName() Returns the name
- getParameters()
Cython signature: Param getParameters() Returns the parameters
- getSubsections()
Cython signature: libcpp_vector[String] getSubsections()
- makePrecursorSelectionForKnownLCMSMap()
Cython signature: void makePrecursorSelectionForKnownLCMSMap(FeatureMap & features, MSExperiment & experiment, MSExperiment & ms2, libcpp_set[int] & charges_set, bool feature_based)
- Parameters
features – Input feature map
experiment – Input raw data
ms2 – Precursors are added as empty MS2 spectra to this MSExperiment
charges_set – Allowed charge states
feature_based – If true the selection is feature based, if false it is scan based and the highest signals in each spectrum are chosen
- setLPSolver()
Cython signature: void setLPSolver(SOLVER solver)
- setName()
Cython signature: void setName(const String &) Sets the name
- setParameters()
Cython signature: void setParameters(Param & param) Sets the parameters