Article

TRAPT: A multi-stage fused deep learning framework for transcriptional regulators prediction via integrating large-scale epigenomic data

2024-05-20

Abstract excerpt

It is a challenging task to identify functional transcriptional regulators, which control expression of gene sets via regulatory elements and epigenomic signals, involving context-specific studies such as development and diseases. Integrating large-scale multi-omics epigenomic data enables the elucidation of the complex epigenomic control patterns of regulatory elements and regulators. Here, we propose TRAPT, a mu...

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Literature Corpus work: 34c4b562-188a-5cc4-a7fc-a917614e9f94
DOI: 10.1101/2024.05.17.594242

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