Statistical validation of protein identifications is an important issue in shotgun proteomics. The false discovery rate (FDR) is a powerful statistical tool in
evaluating the protein identification result. Several research efforts have been made for FDR estimation at the protein-level. However, there are still certain drawbacks in the existing FDR estimation methods based on the target-decoy strategy. In this paper we propose a novel method for validating protein identifications without searching a decoy database.
Follow plfdr
Other Useful Business Software
Ship Agents Faster
Gemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of plfdr!