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Current genomic deep learning architectures generalize across grass species but not alleles

2024-04-13

Abstract excerpt

Non-coding regions of the genome are just as important as coding regions for understanding the mapping from genotype to phenotype. Interpreting deep learning models trained on RNA-seq is an emerging method to highlight functional sites within non-coding regions. Most of the work on RNA abundance models has been done within humans and mice, with little attention paid to plants. Here, we benchmark four genomic deep...

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Identifiers and source

Literature Corpus work
e81031a7-a04c-594e-aa94-6e078dfbe417
DOI
10.1101/2024.04.11.589024
Open publication

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Current genomic deep learning architectures generalize across grass species but not allelesDOI 10.1101/2024.04.11.589024
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