hCoCena

hCoCena constructs and analyzes gene co-expression networks for single and multiple transcriptomic datasets in R to enable integrative comparative transcriptomic analysis.

Key Features:

• Integration of Multiple Datasets: Enables integration and joint analysis of multiple transcriptomic datasets to compare gene co-expression patterns across conditions and phenotypes.
• Single Dataset Analysis: Performs co-expression analysis and network construction for individual transcriptomic studies.
• Gene Co-expression Network Construction: Constructs gene co-expression networks to analyze co-expression patterns within and between datasets.
• Customizability and Extensibility: Supports integration with user-written R scripts and functions to extend analysis workflows.

Scientific Applications:

• Genomics: Supports analysis of transcriptomic co-expression relevant to genomics research.
• Systems Biology: Enables network-level investigation of gene interactions in systems biology contexts.
• Personalized Medicine: Facilitates integrative transcriptomic comparisons relevant to personalized medicine.

Methodology:

Constructing co-expression networks that allow for both single-study and multi-study analyses and providing a framework for integrating diverse transcriptomic datasets.