runPCA: PCA analysis

In supatt-lab/SingCellaR: SingCellaR: an integrative analysis tool for single-cell RNA sequencing (scRNA-seq) data

PCA analysis

Description

PCA analysis

Usage

runPCA(
  object,
  use.components = 50,
  use.regressout.data = T,
  use.scanorama.integrative.matrix = F
)

Arguments

object	The SingCellaR object.
use.components	The number of principal components. Default 50
use.scanorama.integrative.matrix	is the logical, if TRUE scannorama integrative matrix will be used.
regressout.data	is logical, if TRUE, PCA uses the regressout data. If FALSE, PCA uses the normalized data without removing any umwanted source of variations.

supatt-lab/SingCellaR documentation built on Aug. 24, 2023, 5:49 p.m.