Run Independent Component Analysis on gene expression

Run fastica algorithm from the ica package for ICA dimensionality reduction. For details about stored ICA calculation parameters, see PrintICAParams.

RunICA(object, ...)

# S3 method for default
RunICA(
  object,
  assay = NULL,
  nics = 50,
  rev.ica = FALSE,
  ica.function = "icafast",
  verbose = TRUE,
  ndims.print = 1:5,
  nfeatures.print = 30,
  reduction.name = "ica",
  reduction.key = "ica_",
  seed.use = 42,
  ...
)

# S3 method for Assay
RunICA(
  object,
  assay = NULL,
  features = NULL,
  nics = 50,
  rev.ica = FALSE,
  ica.function = "icafast",
  verbose = TRUE,
  ndims.print = 1:5,
  nfeatures.print = 30,
  reduction.name = "ica",
  reduction.key = "ica_",
  seed.use = 42,
  ...
)

# S3 method for Seurat
RunICA(
  object,
  assay = NULL,
  features = NULL,
  nics = 50,
  rev.ica = FALSE,
  ica.function = "icafast",
  verbose = TRUE,
  ndims.print = 1:5,
  nfeatures.print = 30,
  reduction.name = "ica",
  reduction.key = "IC_",
  seed.use = 42,
  ...
)

Arguments

object

Seurat object

...

Additional arguments to be passed to fastica

assay

Name of Assay ICA is being run on

nics

Number of ICs to compute

rev.ica

By default, computes the dimensional reduction on the cell x feature matrix. Setting to true will compute it on the transpose (feature x cell matrix).

ica.function

ICA function from ica package to run (options: icafast, icaimax, icajade)

verbose

Print the top genes associated with high/low loadings for the ICs

ndims.print

ICs to print genes for

nfeatures.print

Number of genes to print for each IC

reduction.name

dimensional reduction name

reduction.key

dimensional reduction key, specifies the string before the number for the dimension names.

seed.use

Set a random seed. Setting NULL will not set a seed.

features

Features to compute ICA on