SmCCNet (version 2.0.3)

getAbar: Calculate similarity matrix based on canonical weights.

Description

Compute the similarity matrix based on the outer products of absolute canonical correlation weights, can be used for both single and multi-omics setting.

Usage

getAbar(Ws, FeatureLabel = NULL)

Value

A \(p\times p\) symmetric non-negative matrix.

Arguments

Ws

A canonical correlation weight vector or matrix. If Ws is a matrix, then each column corresponds to one weight vector.

FeatureLabel

A vector of feature labels for each feature in the adjacency matrix

Examples

w <- matrix(rnorm(6), nrow = 3)
Ws <- apply(w, 2, function(x)return(x/sqrt(sum(x^2))))
abar <- getAbar(Ws,  FeatureLabel = c('omics1', 'omics2', 'omics3'))