A new Bayesian MCMC method for fine mapping causitive variants within GWAS identified region for complex traits. The small region is typically across 1Mb. The feature of the package is that (1) it identify multiple causitive variants (credible set) simultaneousely; (2) it generates credible set containing highly linked variants rather in addition to a lead variants for each signal.

Features

  • it identify multiple causitive variants (credible set) simultaneousely
  • it generates credible set containing highly linked variants rather that a lead variants for each signal

Project Activity

See All Activity >

Follow BayesFM-MCMC-V1.0

BayesFM-MCMC-V1.0 Web Site

Other Useful Business Software
Gen AI apps are built with MongoDB Atlas Icon
Gen AI apps are built with MongoDB Atlas

The database for AI-powered applications.

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.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of BayesFM-MCMC-V1.0!

Additional Project Details

Registered

2020-07-16
Report inappropriate content