Enum TestMethod 

pub enum TestMethod {
    TTest(TTestType),
    MannWhitney,
    NegativeBinomial,
    ZeroInflated,
}

Statistical test methods available for differential expression analysis.

This enum defines the different statistical tests that can be applied to single-cell data. Each method has specific assumptions and use cases.

Variants

TTest(TTestType)

Student’s or Welch’s t-test for comparing means between two groups.

Use when: Data is approximately normal, comparing continuous expression values. Best for: Most differential expression analyses in single-cell data.

MannWhitney

Mann-Whitney U test (Wilcoxon rank-sum test) for non-parametric comparison.

Use when: Data is not normally distributed, or you want a robust rank-based test. Best for: Highly skewed expression data or small sample sizes.

NegativeBinomial

Negative binomial test for count data with overdispersion.

Use when: Working with raw UMI counts and modeling overdispersion. Best for: Count-based differential expression (like DESeq2/edgeR approach).

ZeroInflated

Zero-inflated models for data with excess zeros.

Use when: High proportion of zero values (dropout) needs explicit modeling. Best for: Single-cell data with significant technical dropout.

Trait Implementations

impl Clone for TestMethod

fn clone(&self) -> TestMethod

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for TestMethod

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Copy for TestMethod