MetaboliteFeatureDeconvolution#
- class pyopenms.MetaboliteFeatureDeconvolution#
Bases:
object
Cython implementation of _MetaboliteFeatureDeconvolution
- Original C++ documentation is available here
– Inherits from [‘DefaultParamHandler’]
- __init__()#
Overload:
- __init__(self) None
Overload:
- __init__(self, in_0: MetaboliteFeatureDeconvolution) None
Methods
Overload:
compute
(self, fm_in, fm_out, cons_map, ...)Compute a zero-charge feature map from a set of charged features
getDefaults
(self)Returns the default parameters
getName
(self)Returns the name
getParameters
(self)Returns the parameters
getSubsections
(self)setName
(self, in_0)Sets the name
setParameters
(self, param)Sets the parameters
- CHARGEMODE_MFD#
alias of
__CHARGEMODE_MFD
- compute(self, fm_in: FeatureMap, fm_out: FeatureMap, cons_map: ConsensusMap, cons_map_p: ConsensusMap) None #
Compute a zero-charge feature map from a set of charged features
Find putative ChargePairs, then score them and hand over to ILP
- Parameters:
fm_in – Input feature-map
fm_out – Output feature-map (sorted by position and augmented with user params)
cons_map – Output of grouped features belonging to a charge group
cons_map_p – Output of paired features connected by an edge
- getSubsections(self) List[bytes] #