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Calculate the column wise differential correlation between two sets of data.

rs_differential_cor.Rd

[Experimental] This function calculates the differential correlation based on the Fisher method. For speed purposes, the function will only calculate the differential correlation on the upper triangle of the two correlation matrices.

Usage

rs_differential_cor(x_a, x_b, spearman)

Arguments

x_a

Numeric matrix a, samples x features.

x_b

Numeric matrix b, samples x features. Needs the same number of columns as x_a.

spearman

Boolean. Shall the Spearman correlation be calculated instead of Pearson.

Value

A list containing, one entry per upper-triangle feature pair:

  • r_a - The correlation coefficients in the upper triangle of matrix a.

  • r_b - The correlation coefficients in the upper triangle of matrix b.

  • z_score - The z-scores of the difference in correlation coefficients.

  • p_val - The z-scores transformed to two-sided p-values.