Bootstrap-Based Correlation Difference Test (Unstratified) — boot_correlation

Estimates uncertainty in the correlation difference between ancestries X and Y (relative to reference R), using non-stratified bootstrap resampling within ancestries.

Usage

boot_correlation_diff(
  X,
  Y,
  R,
  MX,
  MY,
  MR,
  g_col,
  method = c("pearson", "spearman"),
  B = 1000,
  seed = NULL,
  alpha = 0.05
)

Arguments

X: Expression matrix for ancestry X (samples x genes)
Y: Expression matrix for ancestry Y
R: Expression matrix for reference ancestry
MX: Metadata for X
MY: Metadata for Y
MR: Metadata for R
g_col: Column in metadata specifying condition/group (factor with 2 levels)
method: Correlation method: "pearson" (default) or "spearman"
B: Number of bootstrap samples
seed: Optional seed for reproducibility
alpha: Significance level (e.g., 0.05 for 95% CI)