dot-cca: Perform CCA

In linnykos/multiomicCCA: Tilted CCA

Perform CCA

Description

This function takes either two matrices or two SVDs. Both input_1 and input_2 must be "of the same type." Calls the .compute_cca_aggregate_matrix function.

Usage

.cca(input_1, input_2, dims_1, dims_2, return_scores, tol = 1e-06)

Arguments

input_1	first input
input_2	second input
dims_1	desired latent dimensions of data matrix 1. Only used if input_1 is a matrix, not if it's a list representing the SVD
dims_2	desired latent dimensions of data matrix 2. Only used if input_2 is a matrix, not if it's a list representing the SVD
return_scores	boolean. If TRUE, return the scores (i.e., matrices where the rows are the cells). If FALSE, return the loadings (i.e., matrices where the rows are the variables). Either way, one of the output matrices will have rank_1 columns and another will have rank_2 columns
tol	small numeric

Value

list

linnykos/multiomicCCA documentation built on July 17, 2025, 3:16 a.m.