GFD-Net

GFD-Net quantifies functional dissimilarity between connected genes and proteins within biological interaction networks to provide a numeric assessment of functional diversity across network edges.

Key Features:

• Visualization: Visualizes gene and protein interaction networks to support interpretation of relationships among network nodes.
• Functional Dissimilarity Analysis: Calculates a quantitative measure that reflects the degree of functional dissimilarity between connected genes or proteins.
• Gene Ontology (GO) Integration: Uses Gene Ontology annotations to contextualize gene functions during dissimilarity computation.

Scientific Applications:

• Interaction network analysis: Characterizes functional diversity within gene-gene and protein-protein interaction networks to reveal heterogeneous functional relationships.
• Discovery of divergent interactions and regulatory mechanisms: Highlights connections with high functional dissimilarity to support identification of candidate novel interactions or regulatory relationships.

Methodology:

Integrates gene network data with Gene Ontology annotations and computes a quantitative functional dissimilarity value for connected genes or proteins.