DTC-m6Am: A Framework for Recognizing N6,2′-O-dimethyladenosine Sites in Unbalanced Classification Patterns Based on DenseNet and Attention Mechanisms

DTC-m6Am: A Framework for Recognizing N6,2′-O-dimethyladenosine Sites in Unbalanced Classification Patterns Based on DenseNet and Attention Mechanisms

Background: m6Am is a specific RNA modification that plays an important role in regulating mRNA stability, translational efficiency, and cellular stress response. m6Am’s precise identification is essential to gain insight into its functional mechanisms at transcriptional and post-...

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Bibliographic Details
Main Authors: Hui Huang, Fenglin Zhou, Jianhua Jia, Huachun Zhang
Format: Article
Language:English
Published: IMR Press 2025-04-01
Series:Frontiers in Bioscience-Landmark
Subjects:
m6am site identification
deep learning
densenet
tcn
cbam
class imbalance
Online Access:https://www.imrpress.com/journal/FBL/30/4/10.31083/FBL36603
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