Run t-SNE on samples

Run t-SNE on samples

Usage

reduce_tsne(
  x,
  experiment,
  assay,
  features = NULL,
  top_n = NULL,
  dimensions = 2,
  perplexity = NULL,
  seed = 1,
  ...
)

Arguments

x

A MultiAssayExperiment object.

experiment

Optional experiment name.

assay

Assay name or one-based assay index.

features

Optional feature subset.

top_n

Optional number of most variable features to retain.

dimensions

Embedding dimensions.

perplexity

Perplexity passed to Rtsne::Rtsne(). When NULL, uses the largest safe integer no greater than 30.

seed

Optional random seed.

...

Additional arguments passed to Rtsne::Rtsne().

Value

A native Rtsne result object.