Computing feature correlation coefficients and constructing co-occurrence networks.

PM-comp-corr is a correlation analysis method in the Parallel-Meta Suite that computes Spearman or Pearson correlations from feature tables (e.g., taxonomic abundance data) and supports co-occurrence network analysis. Users can select correlation algorithms, set network thresholds, and output network diagrams. Ideal for exploring associations between microbial features.