BAYAS: simplifying access to Bayesian analysis for biologists.
other · Level V
Where this comes from
- Record sourced from PubMed, PMID 40511999.
- Also identified by DOI 10.1093/bioinformatics/btaf276 and PMC identifier 12199779.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
In biological research, complex and noisy biological systems with small effects are often studied with small sample sizes. Such a setting is ideal for Bayesian analysis as it supplements new data with prior knowledge and emphasizes uncertainty quantification. Unfortunately, the proper application of Bayesian analysis requires a degree of computational expertise beyond the training of many biologists. We have developed BAYAS (BAYesian Analysis Simplified), a web-based tool that provides programming-free access to Bayesian workflows for numerous use cases. BAYAS comes with three modules: Planning for Bayesian determination of sample sizes; Evaluation for Bayesian analysis of experimental data; Report to make analyses transparent and reproducible. BAYAS can be accessed freely at https://bayas.zmb.uni-due.de/app/bayas (server) and https://github.com/GitCJW/bayas_bioinformatics or https://doi.org/10.5281/zenodo.15052467 (source).
Medical subject headings
- Bayes Theorem
- Software