Article

Self-supervised learning on millions of pre-mRNA sequences improves sequence-based RNA splicing prediction

2023-02-03

Abstract excerpt

<h4>ABSTRACT</h4> RNA splicing is an important post-transcriptional process of gene expression in eukaryotic cells. Predicting RNA splicing from primary sequences can facilitate the interpretation of genomic variants. In this study, we developed a novel self-supervised pre-trained language model, SpliceBERT, to improve sequence-based RNA splicing prediction. Pre-training on pre-mRNA sequences from vertebrates ena...

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Literature Corpus work: 21ebdf10-0391-5cce-9cc6-b17c2306df84
DOI: 10.1101/2023.01.31.526427

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