Article

The regulatory grammar of human promoters uncovered by MPRA-trained deep learning

2024-07-13

Abstract excerpt

One of the major challenges in genomics is to build computational models that accurately predict genome-wide gene expression from the sequences of regulatory elements. At the heart of gene regulation are promoters, yet their regulatory logic is still incompletely understood. Here, we report PARM, a cell-type specific deep learning model trained on specially designed massively parallel reporter assays that query hu...

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Literature Corpus work: b322f715-f3fa-595c-b4af-a365e214397a
DOI: 10.1101/2024.07.09.602649

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