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mikejiang avatar mikejiang commented on July 29, 2024

Also it is worth to mention that flowCore's logicle is more than 10x slower than flowJo. It means flowJo implementation (i.e. spline interpolation based on the precalculated calibration table ) is more efficient.

> microbenchmark(x = fj.biexp(1:1e6), y = fc.biexp(1:1e6), times = 10)
Unit: milliseconds
 expr        min         lq      mean     median         uq      max neval
    x   5.986118   6.198265  26.88554   6.751488   9.792922 198.7599    10
    y 329.089815 330.530181 359.04822 338.694623 376.122943 474.3350    10

@gfinak , So we may consider to switch the flowJo logicle if the transformation ever becomes a bottleneck.

from cytoml.

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