getSVD: Compute the SVD of a matrix using irlba

In biobenkj/compartmentalizer: Higher-order chromatin domain inference in single samples from methylation arrays and single cells from scRNA-seq and scATAC-seq

Compute the SVD of a matrix using irlba

Description

Compute the SVD of a matrix using irlba

Usage

getSVD(matrix, k = 1, sing.vec = c("left", "right"))

Arguments

matrix	A p x n input matrix
k	Number of singular vectors to return
sing.vec	Whether to return the right or left singular vector

Value

A singular vector or matrix with sign corresponding to positive values

Examples

dummy <- matrix(rnorm(10000), ncol=25)
sing_vec <- getSVD(dummy, k = 1, sing.vec = "right")

biobenkj/compartmentalizer documentation built on Oct. 13, 2023, 5:26 p.m.