AsinhTransform Class
- class flowkit.transforms.AsinhTransform(param_t, param_m, param_a)
An implementation of the parametrized inverse hyperbolic sine function as defined in the GatingML 2.0 specification.
This transformation provides an inverse hyperbolic sine transformation that maps a data value onto the interval [0,1] such that:
The top of scale value (i.e, param_t) is mapped to 1.
Large data values are mapped to locations similar to the logarithmic scale.
param_a decades of negative data are brought on scale.
- Parameters:
param_t – parameter specifying the top of the scale, (e.g. 262144)
param_m – parameter for the number of decades
param_a – parameter for the number of additional negative decades
- apply(events)
Apply transform to given events.
- Parameters:
events – NumPy array of FCS event data
- Returns:
NumPy array of transformed events
- inverse(events)
Apply the inverse transform to given events.
- Parameters:
events – NumPy array of FCS event data
- Returns:
NumPy array of inversely transformed events