runPCA_BiocSingular: runPCA_BiocSingular

View source: R/dimension_reduction.R

runPCA_BiocSingularR Documentation

runPCA_BiocSingular

Description

Performs PCA based on the biocSingular package

Usage

runPCA_BiocSingular(
  x,
  ncp = 100,
  center = TRUE,
  scale = TRUE,
  rev = FALSE,
  set_seed = TRUE,
  seed_number = 1234,
  BSPARAM = c("irlba", "exact", "random"),
  BSParameters = list(NA),
  ...
)

Arguments

x

matrix or object that can be converted to matrix

ncp

number of principal components to calculate

center

center the matrix before pca

scale

scale features

rev

reverse PCA

set_seed

use of seed

seed_number

seed number to use

BSPARAM

method to use

BSParameters

additonal parameters for method

Value

list of eigenvalues, loadings and pca coordinates


drieslab/Giotto_site_suite documentation built on April 26, 2023, 11:51 p.m.