Deep learning based prediction of RNA 5hmC modifications using composite feature representations and comparative benchmarking with transformer models

Abstract RNA 5-hydroxymethylcytosine (5hmC) post-transcriptional modification plays an important role in the regulation of gene expression, its stability and evolution. These kinds of modifications emphasizes to understand their further biological impacts. Although several sequencing technologies su...

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Principais autores:	Muhammad Attique, Yaser Daanial Khan, Fahad Alturise, Tamim Alkhalifah
格式:	Artigo
語言:	Inglês
出版:	BMC 2026-01-01
叢編:	BioData Mining
主題:	Deep learning models Transformer-based models Convolutional neural networks RNA site modifications 5-hydroxymethylcytosine Explainable AI
在線閱讀:	https://doi.org/10.1186/s13040-025-00517-x
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