Extended Data Fig. 1. Performance of Orca model predictions for the HFF cell type.

a). A multiscale sequence-based prediction example zooming from whole-chromosome into a position on a holdout test chromosome. Predictions from 1–256Mb scales are compared with micro-C experimental observations. Missing values in micro-C data are shown in gray, and these regions are also indicated in the 64–256Mb prediction heatmaps because predictions at major assembly gaps or unmappable regions are of unknown accuracy. The genome interactions are represented by the log fold over genomic-distance-based background scores for both prediction and experimental data. b). Scatter plot comparison of the predicted interaction scores with the micro-C measured interaction scores (log fold over background) on the holdout test chromosomes. 10,000 randomly subsampled scores are shown in each panel. The overall Pearson correlations across the entire test chromosomes are annotated. The genome interactions are represented by the log fold over background scores for both prediction and experimental data. Predictions for 1–32Mb levels are from the Orca-32Mb model and 64–256Mb levels are from the Orca-256Mb model.