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Popformer: Learning general signatures of positive selection with a self-supervised transformer

2026-03-06

Abstract excerpt

Understanding natural selection can help shed light on the genetics underpinning adaptive evolution. The widespread availability of large-scale human genetic variation data has led to the development of data-driven methods for detecting signatures of selection, many of which are based on deep learning. However, these methods often fail to generalize well to the diversity of selection signatures across a broad rang...

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Literature Corpus work: 8ab19498-73a4-5cb9-bb32-627ea438daa1
DOI: 10.64898/2026.03.06.710163

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