"""
Multiomics cancer classification with MOGONET
=============================================

.. warning::
   This tutorial is a **stub**. The example in this folder is complete and runnable -- see the
   README and run the command below -- but the narrated walkthrough has not been written yet.
   Tracking issue: the tutorial is marked ``draft: true`` in ``metadata.yml``.

Integrate mRNA expression, DNA methylation and miRNA expression with per-omics graph convolutional networks, fusing their predictions through a view-correlation discovery network.

To run the full example now::

    python main.py --cfg configs/MOGONET_BRCA_quick_test.yaml
"""

# %%
# Setup
# -----
# Placeholder so the gallery builds. Replace this file using
# ``source/_shared/templates/plot.py.template``.

print("See main.py in this folder for the runnable example.")
