waltlabtools.core

Functions

aeb(fon)

The average number of enzymes per bead.

c4(n)

Factor c4 for unbiased estimation of the standard deviation.

flatten(data[, on_bad_data])

Flattens most data structures.

fon(aeb)

The fraction of beads which are on.

gmnd(data)

Geometric meandian.

jit(fun)

lod(blank_signal[, inverse_fun, sds, corr])

Compute the limit of detection (LOD).

regress(model, x, y[, use_inverse, weights, ...])

Performs a (nonlinear) regression and return coefficients.

Classes

CalCurve([model, coefs, lod, lod_sds, force_lod])

Calibration curve.

Model([fun, inverse, name, params, xscale, ...])

Mathematical model for calibration curve fitting.