Fig. 3. Association of RNA modifications revealed by MultiRM.

The RNA modifications considered in MultiRM all show positive relationships among one another, suggesting that there are some regions intensively modified by multiple RNA modifications, which are likely to be key regulatory components for the epi-transcriptome layer of gene regulation. Modifications on the same nucleotide are likely to be more strongly associated with each other, such as m⁵C and Cm (ρ = 0.895, p-value = 3.81E−36), I and m¹A (ρ = 0.931, p-value = 9.57E−45), Ψ and m⁵U (ρ = 0.908, p-value = 5.47E−39). The two-sided Pearson correlation test was performed using the exact distribution of the sample correlation coefficient. Statistical significance was calculated by the probability that abs(ρ′) of a random sample x′ and y′ drawn from the population with zero correlation would be greater than or equal to abs(ρ). The weights used to generate this figure can be found in GitHub’s repository.