Article

Iterative deep learning-design of human enhancers exploits condensed sequence grammar to achieve cell type-specificity

2024-06-14

Abstract excerpt

<h4>Summary</h4> An important and largely unsolved problem in synthetic biology is how to target gene expression to specific cell types. Here, we apply iterative deep learning to design synthetic enhancers with strong differential activity between two human cell lines. We initially train models on published datasets of enhancer activity and chromatin accessibility and use them to guide the design of synthetic enh...

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Literature Corpus work: 0dee14fe-bd71-5884-b529-f85fc48033a4
DOI: 10.1101/2024.06.14.599076

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