Probabilistic and machine-learning methods for predicting local rates of transcription elongation from nascent RNA sequencing data.

Nucleic Acids Res · 2025 · PMC11833694 · PMID 39964478

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highly significantno p-value reported

For example, we examined ∼16 500 sites that showed high-confidence differences in DNA methylation between K562 and MCF-7 cells, and found that the model did indeed predict highly significant differences in predicted elongation rate at these sites ( Supplementary Fig.

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