Table 1

Median Pearson correlation coefficient between Hi-C scores and the prediction scores from epiphany, C. Origami, DynamicEdgeConv, GAT, GCN, and Chrombus. All models were trained and tested on the GM12878 cell line. Chrombus outperforms the other methods in predicting interactions at distances of 1–2 Mb and beyond 2 Mb.

Methods0–1 M1–2 M>2 MOverall
Epiphany0.8340.834
C.Origami0.7950.4830.798
DynamicEdgeConv0.2940.2520.4420.728
GAT0.050−0.0140.0000.050
GCN0.0190.0280.0390.050
Chrombus0.7550.5400.5820.908
Methods0–1 M1–2 M>2 MOverall
Epiphany0.8340.834
C.Origami0.7950.4830.798
DynamicEdgeConv0.2940.2520.4420.728
GAT0.050−0.0140.0000.050
GCN0.0190.0280.0390.050
Chrombus0.7550.5400.5820.908

The bold values indicate the best predictive performance obtained from the corresponding methods and the dash symbols mean the corresponding methods are not applicable in those ranges.

Table 1

Median Pearson correlation coefficient between Hi-C scores and the prediction scores from epiphany, C. Origami, DynamicEdgeConv, GAT, GCN, and Chrombus. All models were trained and tested on the GM12878 cell line. Chrombus outperforms the other methods in predicting interactions at distances of 1–2 Mb and beyond 2 Mb.

Methods0–1 M1–2 M>2 MOverall
Epiphany0.8340.834
C.Origami0.7950.4830.798
DynamicEdgeConv0.2940.2520.4420.728
GAT0.050−0.0140.0000.050
GCN0.0190.0280.0390.050
Chrombus0.7550.5400.5820.908
Methods0–1 M1–2 M>2 MOverall
Epiphany0.8340.834
C.Origami0.7950.4830.798
DynamicEdgeConv0.2940.2520.4420.728
GAT0.050−0.0140.0000.050
GCN0.0190.0280.0390.050
Chrombus0.7550.5400.5820.908

The bold values indicate the best predictive performance obtained from the corresponding methods and the dash symbols mean the corresponding methods are not applicable in those ranges.

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