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

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