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Article

Deep flanking sequence engineering for efficient promoter design

2023-04-16

Abstract excerpt

Human experts are good at summarizing explicit strong patterns from small samples, while deep learning models can learn implicit weak patterns from big data. Biologists have traditionally described the sequence patterns of promoters via transcription factor binding sites (TFBSs), while the flanking sequences among TFBSs, which can also significantly influence promoter activity and function, remain largely uncharac...

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Identifiers and source

Literature Corpus work
03d48cf9-1df7-582f-858f-8f40ad8982c5
DOI
10.1101/2023.04.14.536502
Open publication

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Deep flanking sequence engineering for efficient promoter designDOI 10.1101/2023.04.14.536502
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