The Bayesian revolution in genetics

被引:329
作者
Beaumont, MA
Rannala, B
机构
[1] Univ Reading, Sch Anim & Microbial Sci, Reading RG6 6AJ, Berks, England
[2] Univ Alberta, Dept Med Genet, Edmonton, AB T6G 2H7, Canada
基金
加拿大健康研究院; 英国生物技术与生命科学研究理事会; 英国自然环境研究理事会; 美国国家卫生研究院;
关键词
D O I
10.1038/nrg1318
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
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.
引用
收藏
页码:251 / 261
页数:11
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