load_data: Loads a single dataset to a Seurat object.
In FASTGenomics/jupyter-fgread-r: FASTGenomics read module for R

Description Usage Arguments Value Examples

If there are multiple datasets available you need to specify one by setting ds to a dataset id or dataset title. To get an overview of availabe dataset use the fucntion ds_info.

load_data(
  ds,
  data_dir = DATA_DIR,
  additional_readers = list(),
  experimental_readers = F,
  expression_file,
  as_format
)

`ds`	A single dataset ID or dataset title.
`data_dir`	The directory containing sub-folders of the `"dataset_xxxx"` form. Defaults to the directory provided by the FASTGenomics platform.
`additional_readers`	List to specify your own readers for the specific dataset format. Still experimental, by default an empty list
`experimental_readers`	Boolean whether FASTGenomics in-house experimental readers should be used. By default set to False.
`expression_file`	The name of the expression file you want to load. Only needed when there are multiple expression files in a dataset.
`as_format`	Specifies which reader should be uses for this dataset. Overwrites the auto-detection of the format. Possible parameters are the file extensions of our supported data formats: "h5ad", "h5", "hdf5", "loom", "rds", "csv", "tsv".

dataset loaded as a Seurat Object

1 2	load_data() # returns the Seurat object if only one dataset is available load_data('Test loom data') # returns the Seurat object from dataset specified by title