Add your own dataset

Existing datasets and versions can be listed via scyan.data.list(). By default, only public datasets are available, but you can add some if you follow the next steps.

1. Prepare your Python objects

You must prepare your cytometry data and create your knowledge table as described in the preprocessing tutorial. You can also read our advice to create the knowledge table (a great table leads to better predictions!).

Info

If needed, you have an example of an adata object and a knowledge table if you run:

adata, table = scyan.data.load("aml")

2. Save your dataset

Now that you have created an adata object and a table, you can simply save them (for more details, see scyan.data.add):

scyan.data.add("<your-project-name>", adata, table)

3. Load your dataset

Congrats, you can now load your dataset (for more details, see scyan.data.load):

adata, table = scyan.data.load("<your-project-name>")