CoGA (Co-expression Graph Analyzer) is an R package to identify differentially co-expressed gene sets between two phenotypes. The software infers gene regulatory networks from gene expression data, and compares structural properties of the inferred networks based on their spectrum distributions. It also compares the networks in terms of their gene centralities, clustering coefficients and shortest path lengths. In addition to the differential co-expression analyses, the tool provides graphical interfaces for network visualization, ranking of genes according to their "importance" in the network, and the standard single gene differential expression analysis.
Features
- Differential co-expression analysis
- Network visualization
- Network structural properties
- Gene centralities
- Differential expression analysis
Follow CoGA
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of CoGA!