stats

Mathematical tools for samples processing

Functions

background_correction_noob_fit(...)	Perform background correction using the Noob method.
get_factors_from_formula(formula)	Get the factors (column names) from a formula
huber(values[, k, tol])	Perform Huber's M-estimator for robust estimation of mean and scale.
iqr(data)	Get InterQuartile Range, defined by the difference between the 75th percentile (Q3) and the 25th percentile (Q1)
norm_exp_convolution(mu, sigma, alpha, ...)	Perform normalization and background correction on signal values using a normal-exponential convolution model.
quantile_normalization_using_target(...)	Perform quantile normalization on the source_array using target_array as the target distribution, even if the arrays have different sizes.