Sequence based model using deep neural network and hybrid features for identification of 5-hydroxymethylcytosine modification

Sequence based model using deep neural network and hybrid features for identification of 5-hydroxymethylcytosine modification

Abstract RNA modifications are pivotal in the development of newly synthesized structures, showcasing a vast array of alterations across various RNA classes. Among these, 5-hydroxymethylcytosine (5HMC) stands out, playing a crucial role in gene regulation and epigenetic changes, yet its detection th...

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Bibliographic Details
Main Authors: Salman Khan, Islam Uddin, Mukhtaj Khan, Nadeem Iqbal, Huda M. Alshanbari, Bakhtiyar Ahmad, Dost Muhammad Khan
Format: Article
Language:English
Published: Nature Portfolio 2024-04-01
Series:Scientific Reports
Subjects:
5-Hydroxymethylcytosine
RNA
Cancer
Diabetes
Cardiovascular
Deep learning
Online Access:https://doi.org/10.1038/s41598-024-59777-y
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https://doi.org/10.1038/s41598-024-59777-y

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