期刊
BMC BIOINFORMATICS
卷 24, 期 1, 页码 -出版社
BMC
DOI: 10.1186/s12859-023-05442-6
关键词
Assortative mating; Multivariate Bernoulli; Genotype simulation
Existing methods for generating synthetic genotype data are not suitable for replicating the effects of assortative mating. We propose rb_dplr, a novel and computationally efficient algorithm that effectively recapitulates the AM-induced genetic architectures using the Bahadur order-2 approximation of the multivariate Bernoulli distribution. The rBahadur R library is available through the Comprehensive R Archive Network at https://CRAN.R-project.org/package=rBahadur.
Existing methods for generating synthetic genotype data are ill-suited for replicating the effects of assortative mating (AM). We propose rb_dplr, a novel and computationally efficient algorithm for generating high- dimensional binary random variates that effectively recapitulates AM-induced genetic architectures using the Bahadur order-2 approximation of the multivariate Bernoulli distribution. The rBahadur R library is available through the Comprehensive R Archive Network at https://CRAN.R-project.org/package=rBahadur.
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