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Fig. 2 | BMC Bioinformatics

Fig. 2

From: Deciphering the role of RNA structure in translation efficiency

Fig. 2

The relative importance of RNA secondary structures for predicting translational efficiency in mESCs. A The boxplot of the feature importance of 4 feature sets (the sequence features, the in vivo, the in vitro features, and the in silico features in terms of MFE). The feature importance is from the random forests model calculated by the scikit-learn package and the boxplot is generated based on the results from 100 times random split shown in Fig. 1. B Line chart of the in vivo vs. in vitro feature importance. The X-axis is the bin index along the entire transcript. Y-axis shows the feature importance of the icSHAPE reactivities in the corresponding bin. In vivo and in vitro transcripts are highlighted by red and blue curves, respectively. In vivo and in vitro CDS head are highlighted by purple and green curves, respectively. The CDS head is defined as the first six codons of the CDS region

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