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Fig. 3 | BMC Bioinformatics

Fig. 3

From: Inferring RNA sequence preferences for poorly studied RNA-binding proteins based on co-evolution

Fig. 3

Performance in predicting in vivo binding on the InVivoAURA dataset. For each RBP, all methods were trained on the InVitro dataset and tested on the InVivoAURA dataset. Performance was measured by AUC of the predicted and real (CLIP) binary labels. a Box plot of AUCs for different methods including KNN, DeepBind [10], 1NN [5], and RCK [17]. The vertical dashed line separates boxes for methods requiring only the target RBP’s homologous binding information for training to the left, and methods requiring the target RBP’s explicit binding data for training to the right. In each box, the dashed green line denotes the mean, and the brown line denotes the median. b Bar plot of AUCs for RBPs (named by model IDs) with explicit binding data available for training. c Bar plot of AUCs for RBPs with no binding data but only homologous binding information available for training. b and c are the performances breakdown for each group of RBPs (well studied, poorly studied) from a

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