The Nucleotide Transformer opens doors to novel applications in genomics. Intriguingly, even probing of intermediate layers reveals rich contextual embeddings that capture key genomic features, such as promoters and enhancers, despite no supervision during training.
InstaDeep evaluated NT on 18 downstream tasks, such as epigenetic marks prediction and promoter sequence prediction, achieving the highest overall performance across tasks, and outperformed all models on promoter and splicing tasks.
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