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July 14, 2025International Journal of Molecular SciencesOpen Access

From Detection to Prediction: Advances in m6A Methylation Analysis Through Machine Learning and Deep Learning with Implications in Cancer

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Authors

RJRonghua JinQZQuan ZouXLXimei Luo

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Overview

This review examines m6A methylation's role in cancer and predictive modeling using machine learning, indicating its treatment potential.

Key Points

  • m6A methylation is a key RNA modification influencing gene expression and stability.
  • High-throughput sequencing techniques have advanced m6A profiling, enhancing epitranscriptomics research.
  • Machine learning algorithms improve predictive accuracy for m6A site identification and application in cancer.
  • Understanding m6A dynamics promotes advancements in precision medicine and therapeutic interventions.

Cite This Study

Jin et al. (2025) studied this question.

synapsesocial.com/papers/689a02b6e6551bb0af8cc217https://doi.org/10.3390/ijms26146701
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