Article

AI methods and biologically informed data curation enable accurate RNA m <sup>5</sup> C prediction

2025-09-22

Abstract excerpt

5-methylcytosine (m 5 C) RNA modifications influence nearly every aspect of RNA metabolism, but their transcriptome wide detection is limited by costly, error-prone assays. To bridge this experimental gap, a wave of AI tools now predicts putative m 5 C sites in silico . However, most existing approaches prioritize architectural complexity while neglecting data quality, so their reported gains mainly reflect the...

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Literature Corpus work: ef2a1f90-80a6-538c-8a3b-831a29e8b881
DOI: 10.1101/2025.09.22.677824

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