Correlate network features with an external score — correlate_features_with

Computes the Spearman correlation between an external per-patient score (e.g. an immune response score) and every feature column, pooled across all patients ("All") and, optionally, within each group separately.

Usage

correlate_features_with_score(
  feature_matrix,
  score,
  group = NULL,
  p_adjust_method = "fdr"
)

Arguments

feature_matrix: Numeric matrix or data frame with patients in rows (identified by rownames()) and features in columns.
score: Named numeric vector of per-patient scores. Names must match rownames(feature_matrix); patients missing a score are dropped.
group: Optional grouping vector (e.g. cancer type or cohort), in the same row order as feature_matrix. When supplied, correlations are also computed separately within each group.
p_adjust_method: Multiple-testing correction method passed to stats::p.adjust().

Value

A data frame with Group, Feature, Rho, P_value, and Adjusted_P_value.