Build a correlation-based network from a adjacency matrix

Build a correlation-based network from a adjacency matrix

Usage

build_graph_from_adj_mat(
  adjacency_matrix,
  module.method = c("Fast_greedy", "Walktrap", "Edge_betweenness", "Spinglass"),
  node_annotation = NULL,
  top_modules = 15,
  seed = 1115
)

Arguments

adjacency_matrix

Numeric matrix. A numeric matrix with adjacency matrix.

module.method

Character. Network community detection (module identification) method. Options include "Fast_greedy", "Walktrap", "Edge_betweenness", and "Spinglass".

node_annotation

Data frame. Optional node annotation table, containing metadata such as taxonomy or functional categories.

top_modules

Integer. Number of top-ranked modules to retain for downstream visualization or analysis.

seed

Integer (default = 1115). Random seed for reproducibility..

Value

A graph object representing the correlation-based microbial network. Node/edge attributes include correlation statistics and (optionally) module labels.

Examples

NULL
#> NULL