CMIBiCondimat2mat: Normalized Conditional Mutual Information Between Two...

In conMItion: Conditional Mutual Information Estimation for Multi-Omics Data

Normalized Conditional Mutual Information Between Two Matrices Given Two Conditions

Description

Computes the normalized conditional mutual information (CMI) between corresponding rows of two matrices, given two condition variables, normalized by their individual information content. CMI is calculated using the specified number of bins and spline order.

Usage

CMIBiCondimat2mat(mat1, mat2, condi1, condi2, bin = 6, sp_order = 2)

Arguments

mat1	A numeric matrix. For example, each row represents a gene and each column represents a sample.
mat2	Another numeric matrix to compare against. Must have the same dimensions as 'mat1'.
condi1	A numeric condition vector, matching the number of columns in 'mat1'.
condi2	Another numeric condition vector, matching the number of columns in 'mat1'.
bin	An integer specifying the number of bins. Default is 6.
sp_order	An integer specifying the spline order. Must be less than 'bin'. Default is 2.

Value

A numeric vector representing the normalized conditional mutual information (CMI) between pairs of rows from 'mat1' and 'mat2', conditioned on 'condi1' and 'condi2'.

Examples

mat1 <- matrix(rnorm(10000), nrow = 100, ncol = 100)
mat2 <- matrix(rnorm(10000), nrow = 100, ncol = 100)
condi1 <- rnorm(100)
condi2 <- rnorm(100)
CMIBiCondimat2mat(mat1, mat2, condi1, condi2)

conMItion documentation built on Aug. 8, 2025, 6:25 p.m.