m5C-Seq: Machine learning-enhanced profiling of RNA 5-methylcytosine modifications

Zeeshan Abbas, Mobeen Ur Rehman, Hilal Tayara, Seung Won Lee, Kil To Chong

Abstract: Highlights•A technique has been introduced using ensemble learning for RNA modification profiling.•Used m5C-Atlas database and constructed new datasets for the several species.•m5C-Seq employs feature engineering and optimization to outperform earlier SOTA models.•An ablation study with various feature encodings and classifiers highlights key elements affecting model performance.