Tools

BioNeuralNet offers a variety of tools for graph-based analyses of multi-omics data, including:

• Graph Embedding: Generate GNN or Node2Vec embeddings.

• Subject Representation: Integrate embeddings into omics data.

• Disease Prediction: DPMON for end-to-end classification.

• Graph Clustering: PageRank or hierarchical clustering for subnetwork identification.

Usage Examples

• Graph Embeddings
• Subject Representation
• Disease Prediction (DPMON)
• Disease Prediction
• Graph Clustering

These examples illustrate typical usage patterns for each module.