bpContrastiveCov {scPCA}R Documentation

Parallelized Contrastive Covariance Matrices

Description

Compute the list of contrastive covariance matrices in parallel using bplapply.

Usage

bpContrastiveCov(target, background, contrasts, center, scale)

Arguments

target

The target (experimental) data set, in a standard format such as a data.frame or matrix.

background

The background data set, in a standard format such as a data.frame or matrix.

contrasts

A numeric vector of the contrastive parameters.

center

A logical indicating whether the target and background data sets should be centered to mean zero.

scale

A logical indicating whether the target and background data sets should be scaled to unit variance.

Value

A list of contrastive covariance matrices. Each element has an associated contrastive parameter in the contrasts vector.


[Package scPCA version 1.4.0 Index]