compute_mi_dist: Compute mutual information distance from expression vectors

In saezlab/liana: LIANA: a LIgand-receptor ANalysis frAmework

Compute mutual information distance from expression vectors

Description

Given two normalized gene expression vectors, and a given number of bins, this function uses the entropy package to compute the mutual information between the two vectors. Values passed to this function should be log-transformed.

Usage

compute_mi_dist(exp1, exp2, n_bins)

Arguments

exp1	A vector containing the normalized gene expression for the first gene (ligand)
exp2	A vector containing the normalized gene expression for the first gene (receptor)
n_bins	Number of bins to discretize the expression values.

Value

The mututal information distance, also refered to as non-self atalk score

saezlab/liana documentation built on Nov. 8, 2023, 11:53 a.m.