Module nonparametric 

Non-parametric statistical tests for single-cell data analysis.

This module implements non-parametric statistical tests that make fewer assumptions about data distribution. These tests are particularly useful for single-cell data which often exhibits non-normal distributions, high sparsity, and outliers.

The primary test implemented is the Mann-Whitney U test (also known as the Wilcoxon rank-sum test), which compares the distributions of two groups without assuming normality.

Functions

mann_whitney_matrix_groups

Perform Mann-Whitney U tests on all genes comparing two groups of cells.

mann_whitney_optimized

Public API for two samples (dense).

mann_whitney_sparse

Perform Mann-Whitney U tests on a sparse matrix represented by raw components.