Article

Perturbation-aware predictive modeling of RNA splicing using bidirectional transformers

2024-03-21

Abstract excerpt

<h4>ABSTRACT</h4> Predicting molecular function directly from DNA sequence remains a grand challenge in computational and molecular biology. Here, we engineer and train bidirectional transformer models to predict the chemical grammar of alternative human mRNA splicing leveraging the largest perturbative full-length RNA dataset to date. By combining high-throughput single-molecule long-read “chemical transcriptomi...

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Literature Corpus work: dfdec85d-6dfd-537f-9a24-c0d87bd0d2ed
DOI: 10.1101/2024.03.20.585793

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