Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy

Research article (Molecular Therapy, 2022) · cited 77× · AI/ML
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Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy

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Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepm5c-a-deep-learning-based-hybrid-framework-for-identifying-human-rna-n5-methylcytosine-sites-using-a-stacking-strate
MLA “Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepm5c-a-deep-learning-based-hybrid-framework-for-identifying-human-rna-n5-methylcytosine-sites-using-a-stacking-strate.
BibTeX @misc{4ortxyz_deepm5c-a-deep-learning-based-hybrid-framework-for-identifying-human-rna-n5-methylcytosine-sites-using-a-stacking-strate_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy}}, year = {2026}, url = {https://4ort.xyz/entity/deepm5c-a-deep-learning-based-hybrid-framework-for-identifying-human-rna-n5-methylcytosine-sites-using-a-stacking-strate}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Deepm5C: A deep-learning-based hybrid framework for identifying human RNA N5-methylcytosine sites using a stacking strategy — https://4ort.xyz/entity/deepm5c-a-deep-learning-based-hybrid-framework-for-identifying-human-rna-n5-methylcytosine-sites-using-a-stacking-strate (retrieved 2026-05-24)

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