RCytoscape

RCytoscape integrates R and Cytoscape to enable dynamic visualization and analysis of biomolecular networks for investigating complex biological interactions.

Key Features:

• Integration of R and Cytoscape: Leverages R's statistical tools and data-management capabilities together with Cytoscape's network visualization functions to analyze network data.
• Dynamic Visualization: Enables interactive exploration of complex and heterogeneous biological networks rather than static representations.
• Enhanced Functionality: Provides additional analytical capabilities to facilitate deeper interpretation of network structures and relationships.

Scientific Applications:

• Genomics and Oncology: Applied to a portion of the Glioblastoma multiforme (GBM) dataset from The Cancer Genome Atlas (TCGA), including analysis of GBM Proneural tumors and identification of heterogenous signaling patterns with potential clinical implications.

Methodology:

Integration of R and Cytoscape with network visualization supports exploratory and confirmatory data analysis to infer relationships and to model biological systems.