Article
Machine learning for evolutionary genetics and molecular evolution.
Trends in genetics : TIG - 1 May 2026
Svetec Nicolas, Lee UnJin, Zhao Li
Abstract excerpt
Over the past decade, the rapid expansion of large-scale data and advances in computational power have allowed machine learning (ML), especially deep learning, to reshape many areas of biological research. Evolutionary genetics and molecular evolution are also poised for a similar transformation. In this review, we discuss key advances and ongoing challenges in applying ML to the study of genetics and evolution,...
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