Feature Idea: Metric-Based Gene and Cell Analysis

[KhushiB03]

Hello maintainers,

While exploring Cytoscape and learning how gene interaction networks are visualised, I noticed that the current workflow mainly focuses on displaying similarity and interaction relationships between genes or proteins.

I was wondering if it would be useful to introduce a feature that analyses genes or cells based on multiple biological metrics instead of only similarity or interaction connections.

For example, the analysis could consider factors such as:

• interaction strength
• similarity scores
• mutation impact
• DNA sequence changes
• other biological activity metrics

Based on these parameters, the system could automatically identify and highlight:

• highly influential or highly connected genes
• genes with minimal interaction
• possible significant biological changes

This could help researchers quickly identify important nodes in large biological networks and better understand biological patterns.

I would like to know:

1. If something similar already exists in Cytoscape.
2. Whether this idea aligns with the project’s goals.
3. If this could be explored as a potential contribution for newcomers.

Thank you for your guidance.

[khanspers]

Hi @KhushiB03,
Many of these features are already available in Cytoscape, either in the core (or as core apps) or via apps. You can explore the Cytoscape App Store to learn more: https://apps.cytoscape.org/