Given a differential expression file RNEA extracts lists of prioritized TFs, miRNAs, KEGG pathways and categories and GO terms and at the same time it combines them at an HTML file. Most importantly a regulatory subnetwork is extracted showing how the activated regulators interact with their target genes and between each other. In this way, given a genome-wide expression experiment, RNEA prioritizes important regulatory and functional components. It also succeeds to reconstruct meaningful subnetworks of gene regulation, offering further ways of analyzing the data based on network theory.
Follow rnea
Other Useful Business Software
Gemini 3 and 200+ AI Models on One Platform
Build generative AI apps with Vertex AI. Switch between models without switching platforms.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of rnea!