Fine-tuning sequence-to-expression models on personal genome and transcriptome data
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Background: Genomic sequence-to-expression deep learning models, which are trained to predict gene expression and other molecular phenotypes across the reference genome, have recently been shown to have poor out-of-the-box perfor... ...
