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Article

Quantifying the regulatory potential of genetic variants via a hybrid sequence-oriented model with SVEN.

Nature communications - 30 Dec 2024

Wang Yu, Liang Nan, Gao Ge

Abstract excerpt

Deciphering how noncoding DNA determines gene expression is critical for decoding the functional genome. Understanding the transcription effects of noncoding genetic variants are still major unsolved problems, which is critical for downstream applications in human genetics and precision medicine. Here, we integrate regulatory-specific neural networks and tissue-specific gradient-boosting trees to build SVEN: a...

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Share to Gene Expression Regulation
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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 39738063
DOI: 10.1038/s41467-024-55392-7
PMCID: PMC11685779

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