ProteinInference#

class pyopenms.ProteinInference#

Bases: object

Cython implementation of _ProteinInference

Original C++ documentation is available here

[experimental class] given a peptide quantitation, infer corresponding protein quantities

Infers protein ratios from peptide ratios (currently using unique peptides only). Use the IDMapper class to add protein and peptide information to a quantitative ConsensusMap prior to this step

__init__()#

Overload:

__init__(self) → None

Overload:

__init__(self, in_0: ProteinInference) → None

Methods

__init__

Overload:

infer(self, consensus_map, reference_map)

Given a peptide quantitation, infer corresponding protein quantities

infer(self, consensus_map: ConsensusMap, reference_map: int) → None#

Given a peptide quantitation, infer corresponding protein quantities

Infers protein ratios from peptide ratios (currently using unique peptides only). Use the IDMapper class to add protein and peptide information to a quantitative ConsensusMap prior to this step

Parameters:

consensus_map – Peptide quantitation with ProteinIdentifications attached, where protein quantitation will be attached
reference_map – Index of (iTRAQ) reference channel within the consensus map