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)
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
Value
A \(p\times p\) symmetric non-negative 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'))