EBprot implements a hierarchical mixture model directly representing the peptide-protein map. The model fit is used to score differential expression of proteins in a (signed) probability scale based on reproducible quantification over multiple peptides. The package takes as input a data matrix with each row containing the data for one peptide, including protein and peptide identifier and peptide ratio(s), and returns the protein-level score table with PPscore, BFDR, Posterior Odds score, and flag for each comparison.
Follow EBprot
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 EBprot!