Simple Bootstrap-Based Interaction Estimation with CI Level Control — boot_interaction_effect • CrossAncestryGenPhen

Estimates variability in the condition-by-ancestry interaction effect using non-stratified bootstrap resampling.

Usage

boot_interaction_effect(
  X,
  Y,
  MX,
  MY,
  g_col,
  a_col = NULL,
  B = 1000,
  seed = NULL,
  alpha = 0.05
)

Arguments

X: Expression matrix for ancestry A (samples x genes)
Y: Expression matrix for ancestry B (samples x genes)
MX: Metadata for X (must include group column)
MY: Metadata for Y
g_col: Column in metadata for condition/group (factor with 2 levels)
B: Number of bootstrap samples
seed: Optional seed for reproducibility
alpha: Significance level (e.g., 0.05 for 95% CI)

Value

A list with summary stats and bootstrap replicates