bioconductor-beer
Bayesian Enrichment Estimation in R
Bayesian Enrichment Estimation in R
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BEER implements a Bayesian model for analyzing phage-immunoprecipitation sequencing (PhIP-seq) data. Given a PhIPData object, BEER returns posterior probabilities of enriched antibody responses, point estimates for the relative fold-change in comparison to negative control samples, and more. Additionally, BEER provides a convenient implementation for using edgeR to identify enriched antibody responses.
Summary
Bayesian Enrichment Estimation in R
Last Updated
Dec 22, 2024 at 00:15
License
MIT + file LICENSE
Total Downloads
2.8K
Supported Platforms