A Bidirectional LSTM-RNN and GRU Method to Exon Prediction Using Splice-Site Mapping

A Bidirectional LSTM-RNN and GRU Method to Exon Prediction Using Splice-Site Mapping

Deep Learning techniques (DL) significantly improved the accuracy of predictions and classifications of deoxyribonucleic acid (DNA). On the other hand, identifying and predicting splice sites in eukaryotes is difficult due to many erroneous discoveries. To address this issue, we propose a deep learn...

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Bibliographic Details
Main Authors: Peren Jerfi CANATALAY, Osman Nuri Ucan
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Applied Sciences
Subjects:
splice site
intron
exon
machine learning
deep learning
LSTM
Online Access:https://www.mdpi.com/2076-3417/12/9/4390

Internet

https://www.mdpi.com/2076-3417/12/9/4390

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