Function apply_correction

src/memory/processing/diffexp/mod.rs:983–995

Apply multiple testing correction to a vector of p-values. Converts p-values to the appropriate numeric type and applies the specified correction method. All correction methods are implemented in the `single_statistics` crate with well-tested algorithms. # Arguments `p_value` - Raw p-values to correct `method` - Multiple testing correction method to apply # Returns Vector of corrected p-values

(p_value: &[T], method: CorrectionMethod)

/// - **Hochberg**: Requires independence assumption
/// - **Storey Q-value**: Provides q-value estimates
fn apply_correction<T>(p_value: &[T], method: CorrectionMethod) -> anyhow::Result<Vec<T>>
where
    T: FloatOps,
{
    match method {
        CorrectionMethod::Bonferroni => bonferroni_correction(p_value),
        CorrectionMethod::BejaminiHochberg => benjamini_hochberg_correction(p_value),
        CorrectionMethod::BenjaminiYekutieli => benjamini_yekutieli_correction(p_value),
        CorrectionMethod::HolmBonferroni => holm_bonferroni_correction(p_value),
        CorrectionMethod::Hochberg => hochberg_correction(p_value),
        CorrectionMethod::StoreyQValue => storey_qvalues(p_value, T::from(0.5).unwrap()),
    }
}

#[allow(clippy::too_many_arguments)]
fn store_results(