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Evaluating the cross-species transferability and scaling of sequence-to-function predictions in AlphaGenome

2026-07-10

Abstract excerpt

Deep learning models that predict molecular phenotypes directly from DNA sequence offer a powerful framework for interpreting genomic variation. Recently, AlphaGenome was introduced as a deep sequence-to-function architecture capable of predicting observations that historically required experiments. While the model has shown high accuracy, it was primarily evaluated on human variants scored against a reference gen...

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Literature Corpus work
23679f70-5765-5bea-ae96-e3d163d01d25
DOI
10.64898/2026.07.10.737654
Open publication

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Evaluating the cross-species transferability and scaling of sequence-to-function predictions in AlphaGenomeDOI 10.64898/2026.07.10.737654
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