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SMetABF: A rapid algorithm for Bayesian GWAS meta-analysis with a large number of studies included
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 to rapidly obtain the optimal ABF in the GWAS meta-analys...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947622/ https://www.ncbi.nlm.nih.gov/pubmed/35286307 http://dx.doi.org/10.1371/journal.pcbi.1009948 |