Crate single_statistics 

single-statistics

A specialized Rust library for statistical analysis of single-cell data, part of the single-rust ecosystem.

This crate provides robust statistical methods for biological analysis of single-cell data, focusing on differential expression analysis, marker gene identification, and related statistical tests. It is optimized for sparse single-cell matrices and provides both parametric and non-parametric statistical tests.

Core Features

• Differential Expression Analysis: T-tests, Mann-Whitney U tests, and other statistical methods
• Multiple Testing Correction: FDR, Bonferroni, and other correction methods
• Effect Size Calculations: Cohen’s d and other effect size measures
• Sparse Matrix Support: Optimized for CsrMatrix from nalgebra-sparse

Quick Start

Use the MatrixStatTests trait to perform differential expression analysis on sparse matrices. The library supports various statistical tests including t-tests and Mann-Whitney U tests, with automatic multiple testing correction.

Module Organization

• testing: Statistical tests, hypothesis testing, and multiple testing correction
• [enrichment]: Gene set enrichment analysis methods (GSEA, ORA, AUCell)

Modules

testing

Statistical testing framework for single-cell data analysis.