quickCCA: Perform CCA (using PMA package or otherwise) on two samples

In conos: Clustering on Network of Samples

Perform CCA (using PMA package or otherwise) on two samples

Description

Perform CCA (using PMA package or otherwise) on two samples

Usage

quickCCA(
  r.n,
  data.type = "counts",
  ncomps = 100,
  n.odgenes = NULL,
  var.scale = TRUE,
  verbose = TRUE,
  PMA = FALSE,
  score.component.variance = FALSE
)

Arguments

r.n	list of pagoda2 objects
data.type	character Type of data type in the input pagoda2 objects within r.n (default='counts')
ncomps	numeric Number of components to calculate (default=100)
n.odgenes	numeric Number of overdispersed genes to take from each dataset
var.scale	boolean Whether to scale variance (default=TRUE)
verbose	boolean Whether to be verbose (default=TRUE)
score.component.variance	boolean Whether to score component variance (default=FALSE)

conos documentation built on Oct. 17, 2022, 9:07 a.m.