FineIsotopePatternGenerator

class pyopenms.FineIsotopePatternGenerator

Bases: object

Cython implementation of _FineIsotopePatternGenerator

Original C++ documentation is available here

Isotope pattern generator for fine isotope distributions. Generates isotopes until a stop condition (threshold) is reached, the lower the threshold the more isotopes are generated. The parameter use_total_prob defines whether the stop condition is interpreted as the total probability that the distribution should cover (default) or as a threshold for individual peaks. Finally, the absolute parameter specifies for individual peak thresholding if the threshold is absolute or relative.

__init__()

Overload:

__init__(self) → None

Overload:

__init__(self, threshold: float) → None

Overload:

__init__(self, threshold: float, use_total_prob: bool) → None

Overload:

__init__(self, threshold: float, use_total_prob: bool, absolute: bool) → None

Methods

__init__	Overload:
getAbsolute(self)
getThreshold(self)
getTotalProbability(self)
run(self, in_0)
setAbsolute(self, absolute)
setThreshold(self, threshold)
setTotalProbability(self, total)

getAbsolute(self) → bool

getThreshold(self) → float

getTotalProbability(self) → bool

run(self, in_0: EmpiricalFormula) → IsotopeDistribution

setAbsolute(self, absolute: bool) → None

setThreshold(self, threshold: float) → None

setTotalProbability(self, total: bool) → None