Extended Data Fig. 3: Performance of nine chromatin accessibility prediction algorithms when converting peaks to DORCs. | Nature Methods

Extended Data Fig. 3: Performance of nine chromatin accessibility prediction algorithms when converting peaks to DORCs.

From: Benchmarking algorithms for single-cell multi-omics prediction and integration

Extended Data Fig. 3

a, b, Average PCC (b) and CMD (c) values between the reference data and the predicted results 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 DORC-DORC PCC/CMD axes, respectively, and the dashed lines are the medians of all algorithms’ results. Error bar: standard deviation of 11 datasets. Data are presented as mean values +/− 0.5xSD. c, 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 bar: standard deviation of 11 datasets (X axes) or 8 datasets (Y axes). Data are presented as mean values +/− 0.5xSD. d, e, 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 8 datasets. f, g, Rank index (RI) values of nine algorithms in the intra-dataset (e) and inter-dataset (f) scenarios. h, The overall performance of nine algorithms in both intra-dataset and inter-dataset scenarios. Source data for this figure are provided.

Source data

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