simulate_sparse_matrix: Generate a simulated sparse matrix for single-cell data...

In inferCSN: Inferring Cell-Specific Gene Regulatory Network

Generate a simulated sparse matrix for single-cell data testing

Description

Generate a simulated sparse matrix for single-cell data testing

Usage

simulate_sparse_matrix(
  nrow,
  ncol,
  density = 0.1,
  distribution_fun = function(n) stats::rpois(n, lambda = 0.5) + 1,
  seed = 1
)

Arguments

nrow	Number of rows (genes) in the matrix.
ncol	Number of columns (cells) in the matrix.
density	Density of non-zero elements (default: 0.1, representing 90 sparsity).
distribution_fun	Function to generate non-zero values.
seed	Random seed for reproducibility.

Value

A sparse matrix of class "dgCMatrix"

Examples

simulate_sparse_matrix(2000, 500) |>
  check_sparsity()

inferCSN documentation built on April 13, 2025, 5:11 p.m.