HELIX: a scalable model for predicting context-dependent regulation of RNA splicing and isoform usage

Zenodo (CERN European Organization for Nuclear Research) 2026 Open access

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Authors: Zihan Zhou, Bingqi Wu, Xin Zheng, Lipu Song, Shuai Zhang, Dali Han, Zhaoqi Liu, Yuan Gao
DOI: 10.5281/zenodo.19272015
Cited by: 1

Abstract

HELIX is a deep learning model that integrates pre-mRNA sequence and RNA-binding protein (RBP) expression profiles to predict tissue- and condition-specific splicing patterns and transcript isoform usage.

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 March 2026