BP-GAN: Interpretable Human Branchpoint Prediction Using Attentive Generative Adversarial Networks

BP-GAN: Interpretable Human Branchpoint Prediction Using Attentive Generative Adversarial Networks

Branchpoints (BPs) are essential sequence elements of ribonucleic acids (RNAs) in splicing, which is the process of creating a messenger RNA (mRNA) that is translated into proteins. This study proposes to develop deep neural networks for BP prediction. Extensive previous studies have shown that the...

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Bibliographic Details
Main Authors: Hyeonseok Lee, Sangwoo Yeom, Sungchan Kim
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Branchpoint prediction
deep neural networks
generative adversarial networks
interpretability
Online Access:https://ieeexplore.ieee.org/document/9096308/

Internet

https://ieeexplore.ieee.org/document/9096308/

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