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Modeling context-dependent RNA splicing by deep learning

delete2026-05-19
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PRE
AI
C
Chengxuan Chen *
L
Leng Han *
DOI：10.1038/s43588-026-00987-xdelete
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Abstract

Abstract

En 中文
A framework called HELIX provides a strategy for predicting full-length transcript isoform usage across diverse biological contexts by integrating sequence features with RNA-binding protein expression.
Keywords:
transcript isoform
RNA-binding protein
deep learning
splicing
sequence features

Journal

Nature Computational Science cover
Nature Computational Science
IF:
18.3
Papers:
3.1K
Citations:
4.0K

Organization

I
Indiana University
Scholars:
2.4K
Papers: 1.2K
Citations: 5.3K