A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields such as precision medicine, crop science, and animal breeding.
Interpretable machine learning model advances analysis of complex genetic traits
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