Perturbation-aware predictive modeling of RNA splicing using bidirectional transformers
Colin P McNally,
Nour J Abdulhay,
Mona Khalaj
et al.
Abstract: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 transcriptomics" in human cells with transformer models, we train AllSplice - a nucleotide foundation model that achieves state-of… Show more
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