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quickCCA

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

Clustering on Network of Samples

v1.4.0
GPL-3
Authors
Viktor Petukhov [aut], Nikolas Barkas [aut], Peter Kharchenko [aut], Weiliang Qiu [ctb], Evan Biederstedt [aut, cre]
Initial release

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