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Published in 2022 at "PLoS Computational Biology"
DOI: 10.1371/journal.pcbi.1009948
Abstract: Bayesian methods are widely used in the GWAS meta-analysis. But the considerable consumption in both computing time and memory space poses great challenges for large-scale meta-analyses. In this research, we propose an algorithm named SMetABF…
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Keywords:
bayesian gwas;
gwas meta;
meta;
meta analysis ... See more keywords