IDDecoyProbability#
- class pyopenms.IDDecoyProbability#
Bases:
object
Cython implementation of _IDDecoyProbability
- Original C++ documentation is available here
– Inherits from [‘DefaultParamHandler’]
- __init__()#
Overload:
- __init__(self) None
IDDecoyProbability calculates probabilities using decoy approach
Overload:
- __init__(self, in_0: IDDecoyProbability) None
Methods
Overload:
Overload:
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
- apply()#
Overload:
- apply(self, prob_ids: List[PeptideIdentification], fwd_ids: List[PeptideIdentification], rev_ids: List[PeptideIdentification]) None
Converts the forward and reverse identification into probabilities
- Parameters:
prob_ids – Output of the algorithm which includes identifications with probability based scores
fwd_ids – Input parameter which represents the identifications of the forward search
rev_ids – Input parameter which represents the identifications of the reversed search
Overload:
- apply(self, ids: List[PeptideIdentification]) None
- getSubsections(self) List[bytes] #