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

__init__	Overload:
apply	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

getDefaults(self) → Param

Returns the default parameters

getName(self) → bytes | str | String

Returns the name

getParameters(self) → Param

Returns the parameters

getSubsections(self) → List[bytes]

setName(self, in_0: bytes | str | String) → None

Sets the name

setParameters(self, param: Param) → None

Sets the parameters