6mAPred-MSFF: A Deep Learning Model for Predicting DNA N6-Methyladenine Sites across Species Based on a Multi-Scale Feature Fusion Mechanism

6mAPred-MSFF: A Deep Learning Model for Predicting DNA N6-Methyladenine Sites across Species Based on a Multi-Scale Feature Fusion Mechanism

DNA methylation is one of the most extensive epigenetic modifications. DNA N6-methyladenine (6mA) plays a key role in many biology regulation processes. An accurate and reliable genome-wide identification of 6mA sites is crucial for systematically understanding its biological functions. Some machine...

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Bibliographic Details
Main Authors: Rao Zeng, Minghong Liao
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Applied Sciences
Subjects:
DNA N6-methyladenine
deep learning
site prediction
depthwise separable convolution
inverted residual structure
attention mechanism
Online Access:https://www.mdpi.com/2076-3417/11/16/7731

Internet

https://www.mdpi.com/2076-3417/11/16/7731

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