biolearn.imputation: Data Imputation Functions

This module provides a set of functions for imputing missing values in DNA methylation datasets. These functions allow for various strategies of imputation, from simple averaging to more complex hybrid methods.

Functions:

impute_from_standard(dnam, cpg_source[, ...])	Impute all missing values in a DNA methylation dataset using the reference values from an external dataset.
impute_from_average(dnam[, cpgs_to_impute])	Impute all missing values in a DNA methylation dataset using the average from the dataset itself.
hybrid_impute(dnam, cpg_source, required_cpgs)	Imputes missing values in a DNA methylation dataset based on a threshold.