Extended Data Fig. 2: Translatomer accurately predicts ribosome profiling signal for new data.

a, Heatmap showing the pairwise Spearman correlation coefficients between the observed and predicted ribosome profiling across the four tissues or cell types evaluated. Hierarchical clustering was performed to evaluate the similarity between different datasets. b, Pearson (left) and Spearman (right) correlation coefficient between the predicted signal of a certain cell type and the observed signal in that cell type (in yellow), and between the predicted signal of a certain cell type and the observed signal in epithelial cells (in green) for the FSTL1 gene. c, MSE loss between the predicted signal of a certain cell type and the observed signal in that cell type (in yellow), and between the predicted signal of a certain cell type and the observed signal in epithelial cells (in green) for the FSTL1 gene. d, Observed and predicted ribosome profiling tracks in epithelial cells and non-epithelial cells for the ACTB gene. The Pearson correlation coefficient against the observed ribosome profiling in epithelial is labeled at the top right. e, Observed RNA-seq tracks of ACTB in epithelial and non-epithelial cells. The Pearson correlation coefficient is calculated against the RNA-seq signal in epithelial and is labeled at the top right. f, Evaluations of the human-data-trained model on the de novo prediction across 16 mouse datasets, with MSE loss (top), Spearman correlation coefficient (middle), and Pearson correlation coefficient (bottom) shown. The datasets were sorted based on the Pearson correlation coefficient. g, Evaluations of the mouse-data-trained model on the de novo prediction across 37 human datasets.