Tutorials

These tutorials illustrate how to combine BioNeuralNet components for a cohesive multi-omics analysis.

• Example 1: SmCCNet + GNN Embeddings + Subject Representation
• Example 2: SmCCNet + DPMON for Disease Prediction

Example 1 demonstrates:

• Generating a network adjacency using SmCCNet (external tool).

• Building GNN embeddings from the adjacency.

• Integrating embeddings into subject data for further analysis.

Example 2 demonstrates:

• Constructing a network (SmCCNet).

• Leveraging DPMON for end-to-end disease prediction, combining adjacency + omics data.