Fig. 2: Comparative performance of pum6a and baseline models across diverse datasets. | Nature Communications

Fig. 2: Comparative performance of pum6a and baseline models across diverse datasets.

From: Decoding the m6A epitranscriptomic landscape for biotechnological applications using a direct RNA sequencing approach

Fig. 2: Comparative performance of pum6a and baseline models across diverse datasets.

a, b ROC AUC scores of pum6a and baseline models on 20 different datasets. a Bag-wise ROC AUC; b Instance-wise ROC AUC, showing pum6a’s consistent performance across various biological data. c, d Average rank of each method across all experiments and different label frequencies. c Bag level; d Instance level ranking, with pum6a outperforming other methods in predictive accuracy and model robustness.

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