import qpcr._auxiliary as aux
[docs]class EfficiencyCurve(aux._ID):
"""
A helper class that will handle dilutions, ct values and the linreg model
when newly computing efficiencies from assays.
"""
__slots__ = ['_dilutions', '_ct_values', '_model', '_efficiency']
def __init__(self, dilutions, ct_values, model, efficiency):
super().__init__()
self._dilutions = dilutions
self._ct_values = ct_values
self._model = model
self._efficiency = efficiency
[docs] def values(self):
"""
Returns
------
dilutions : np.ndarray
The dilutions (x-values) used for efficiency calculation.
ct_value : np.ndarray
The underlying Ct values (y-values) used for efficiency calculation.
"""
return self._dilutions, self._ct_values
[docs] def model(self):
"""
Returns
-------
model : stats.LinregressResult
The linear regression model used for efficiency calculation.
"""
return self._model
[docs] def efficiency(self):
"""
Returns
-------
eff : float
The efficiency calculated from the stored data.
"""
return self._efficiency