Download
GeneNetWeaver (GNW) is an open-source tool for in silico benchmark generation and performance profiling of network inference methods. GNW was used to generate the community-wide DREAM3, DREAM4 and DREAM5 In Silico Challenges.
Features
- Extraction of modules from known transcriptional regulatory networks (E.coli, Yeast, etc.)
- Generation of realistic in-silico gene network benchmarks for network inference methods
- Simulation of realistic biological experiments (knowckout, knockdown, dual-knockout, multifactorial perturbations, time series, etc.)
- Performance evaluation of network predictions (Precision-Recall, ROC, motif analysis)
Project Samples
Categories
Bio-InformaticsLicense
MIT LicenseFollow GeneNetWeaver
Other Useful Business Software
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of GeneNetWeaver!