im5C-DSCGA: A Proposed Hybrid Framework Based on Improved DenseNet and Attention Mechanisms for Identifying 5-methylcytosine Sites in Human RNA

im5C-DSCGA: A Proposed Hybrid Framework Based on Improved DenseNet and Attention Mechanisms for Identifying 5-methylcytosine Sites in Human RNA

Background: 5-methylcytosine (m5C) is a key post-transcriptional modification that plays a critical role in RNA metabolism. Owing to the large increase in identified m5C modification sites in organisms, their epigenetic roles are becoming increasingly unknown. Therefore, it is crucial to precisely i...

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Bibliographic Details
Main Authors: Jianhua Jia, Lulu Qin, Rufeng Lei
Format: Article
Language:English
Published: IMR Press 2023-12-01
Series:Frontiers in Bioscience-Landmark
Subjects:
rna
5-methylcytosine site identification
densenet
bgru
improved cbam attention
self-attention
deep learning
ensemble learning
Online Access:https://www.imrpress.com/journal/FBL/28/12/10.31083/j.fbl2812346

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https://www.imrpress.com/journal/FBL/28/12/10.31083/j.fbl2812346

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