Bayesian neural networks for genomic prediction: uncertainty quantification and SNP interpretation with SHAP and GWAS
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This study presents a Bayesian neural networks framework with LASSO regularization and the GSMeSP interpretability tool, enabling accurate, uncertainty-aware, and biologically interpretable genomic prediction. Deep learning offers significant potential for gen... ...
