Attention-based multi-label neural networks for integrated prediction and interpretation of twelve widely occurring RNA modifications

Abstract

RNA modifications appear to play a role in determining RNA structure and function. Here, the authors develop a deep learning model that predicts the location of 12 RNA modifications using primary sequence, and show that several modifications are associated, which suggests dependencies between them.