A CNN-Based RNA N6-Methyladenosine Site Predictor for Multiple Species Using Heterogeneous Features Representation

A CNN-Based RNA N6-Methyladenosine Site Predictor for Multiple Species Using Heterogeneous Features Representation

Post-transcriptional modification such as N6-methyladenosine (m6A) has a crucial role in the stability and regulation of gene expression. Therefore, the identification of m6A is highly required for understanding the functional mechanisms of biological processes. Several machine learning techniques b...

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Bibliographic Details
Main Authors: Waleed Alam, Syed Danish Ali, Hilal Tayara, Kil to Chong
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Post-transcription modification
RNA methylation
sequence analysis
convolutional neural network
deep learning
Online Access:https://ieeexplore.ieee.org/document/9119435/

Internet

https://ieeexplore.ieee.org/document/9119435/

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