Introduction

🧠 Introduction

Biological systems are naturally network-driven. Genes, proteins, and pathways interact in complex, non-linear ways that are best represented as graphs.

However, raw biological graphs often suffer from:

Noise

Missing edges

Redundant connections

Incomplete complexes

The Biological Graph Optimiser addresses these issues by applying graph-theoretic optimisation techniques to enhance biological relevance while preserving interpretability.