Extended Data Fig. 2: Performance of eleven algorithms in predicting RU protein abundance from RNA expression.
From: Benchmarking algorithms for single-cell multi-omics prediction and integration
a, b, Average PCC (a) and CMD (b) values between the reference and predicted RU protein abundance for the intra-dataset scenario, that is, the training and test sets are from the same datasets. The X and Y axes are the cell‒cell and protein‒protein PCC/CMD, respectively, and the dashed lines are the medians of all algorithms’ results. Error bar: standard deviation of 23 datasets. Data are presented as mean values +/− 0.5xSD. c, d, Same as (a) and (b), but the results were predicted for the inter-dataset scenario, that is, the training and test sets are from different datasets. Error bar: standard deviation of 10 datasets. e, Average RMSE values between the reference data and the predicted results for the intra-dataset scenario (X axes) and inter-dataset scenario (Y axes). Error bars: standard deviation of 23 datasets (X axes) or 10 datasets (Y axes). Data are presented as mean values +/− 0.5xSD. f, g, Rank index (RI) values of seven algorithms in the intra-dataset (f) and inter-dataset (g) scenarios. h, The overall performance of seven algorithms in both intra-dataset and inter-dataset scenarios. Source data for this figure are provided.
