Table 6.

A comparison of the reconstruction accuracy spread of the different methods on the synthetic dataset

SV	Noise Level 50
	3DMax	MOGEN	ShRec3D	MCMC5C
set0	0.9708	0.9755	0.7928	0.0481
set1	0.9552	0.9648	0.8188	0.0779
set2	0.8405	0.8625	0.7175	0.1477
set3	0.6505	0.6406	0.5722	0.1201
set4	0.5302	0.5135	0.502	0.1916
set5	0.5211	0.4945	0.4938	0.1614
set6	0.5303	0.5211	0.4767	0.1938
SV	Noise Level 100
	3DMax	MOGEN	ShRec3D	MCMC5C
set0	0.9753	0.9835	0.9239	0.3514
set1	0.963	0.968	0.9133	0.2642
set2	0.8578	0.8527	0.8072	0.3792
set3	0.6555	0.6039	0.6338	0.2068
set4	0.5703	0.4991	0.532	0.2456
set5	0.5342	0.4728	0.5183	0.1299
set6	0.5535	0.47	0.5026	0.1578
SV	Noise Level 150
	3DMax	MOGEN	ShRec3D	MCMC5C
set0	0.976	0.9734	0.876	0.1933
set1	0.959	0.96	0.8613	0.2275
set2	0.8612	0.8485	0.7572	0.1016
set3	0.6821	0.6362	0.6546	0.0791
set4	0.5713	0.4915	0.5475	0.1146
set5	0.5285	0.4835	0.5268	0.0858
set6	0.5601	0.4318	0.5009	0.1106
SV	Noise Level 200
	3DMax	MOGEN	ShRec3D	MCMC5C
set0	0.9771	0.9655	0.8499	0.0481
set1	0.9627	0.9533	0.8481	0.0779
set2	0.8634	0.8514	0.7743	0.1477
set3	0.6724	0.6606	0.6726	0.1201
set4	0.5679	0.5131	0.5559	0.1916
set5	0.5435	0.4886	0.5292	0.1614
set6	0.5487	0.4554	0.4992	0.1938

The reconstruction accuracy for 3DMax, MOGEN, ShRec3D, and MCMC5C at different levels of noise and structural variability. The dataset has resolution 150 bp/nm and TAD like feature architecture. Noise Level 50: comparison of dSCC value at Noise Level 50, Noise Level 100: comparison of dSCC value at Noise Level 100, Noise Level 150: comparison of dSCC value at Noise Level 150, Noise Level 200: comparison of dSCC value at Noise Level 200. The table values denote the distance Spearman correlation coefficient (dSCC) score in the range [−1,1] and the SV denotes the structural variability level. Set 0-6 denotes seven different levels of structural variability in the increasing order. A higher dSCC value means the better accuracy