BioinformaticsMolecular Biology and EvolutionPeer-reviewed
seqLens: optimizing language models for genomic predictions
Mahdi Baghbanzadeh, B Mann, Keith A. Crandall, Ali Rahnavard
This study develops seqLens, a genomic language model family, and evaluates its performance on phenotypic predictions using diverse pretraining datasets and tokenization strategies.
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