exp2cor: Calculate pairwise correlations between genes in a matrix

In almeidasilvaf/BioNERO: Biological Network Reconstruction Omnibus

Calculate pairwise correlations between genes in a matrix

Description

Calculate pairwise correlations between genes in a matrix

Usage

exp2cor(exp, cor_method = "pearson")

Arguments

exp	A numeric matrix containing a gene expression matrix, with genes in rows and samples in columns.
cor_method	Character indicating the correlation method to use. One of "pearson", "spearman", or "biweight". Default: "pearson".

Value

A numeric, symmetric matrix with pairwise correlations between genes.

Examples

# Simulate an expression matrix with 100 genes and 50 samples
exp <- matrix(
    rnorm(100 * 50, mean = 10, sd = 2),
    nrow = 100,
    dimnames = list(
        paste0("gene", seq_len(100)),
        paste0("sample", seq_len(50))
    )
)

# Calculate correlation matrix
cor_mat <- exp2cor(exp)

almeidasilvaf/BioNERO documentation built on March 25, 2024, 9:14 p.m.