Approximate Bayesian neural networks in genomic prediction
Abstract Background Genome-wide marker data are used both in phenotypic genome-wide association studies (GWAS) and genome-wide prediction (GWP). Typically, such studies include high-dimensional data with thousands to millions of single nucleotide polymorphisms (SNPs) recorded in hundreds to a few th...
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| Format: | Article |
| Language: | deu |
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BMC
2018-12-01
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| Series: | Genetics Selection Evolution |
| Online Access: | http://link.springer.com/article/10.1186/s12711-018-0439-1 |