The Bayesian revolution in genetics View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2004-04

AUTHORS

Mark A Beaumont, Bruce Rannala

ABSTRACT

Bayesian statistics allow scientists to easily incorporate prior knowledge into their data analysis. Nonetheless, the sheer amount of computational power that is required for Bayesian statistical analyses has previously limited their use in genetics. These computational constraints have now largely been overcome and the underlying advantages of Bayesian approaches are putting them at the forefront of genetic data analysis in an increasing number of areas. More... »

PAGES

251-261

Journal

TITLE

Nature Reviews Genetics

ISSUE

4

VOLUME

5

Author Affiliations

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1038/nrg1318

    DOI

    http://dx.doi.org/10.1038/nrg1318

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1045116249

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/15131649


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