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Table 1 HiCzin normalization followed by the Leiden clustering algorithm outperforms other normalization methods on binning in terms of F-score, ARI, and NMI

From: HiCBin: binning metagenomic contigs and recovering metagenome-assembled genomes using Hi-C contact maps

 

No. of groups

No. of contigs

F-score

ARI

NMI

Naive site

13

5191

0.873

0.854

0.865

Naive length

13

5210

0.892

0.876

0.873

Naive coverage

11

5240

0.761

0.702

0.847

bin3C_Norm

13

5125

0.894

0.878

0.884

HiCzin (HiCBin)

14

5217

0.908

0.894

0.895

  1. Note: the optimal values of the results are in bold. No. of groups represents the number of valid genome bins, and No.# of contigs is the number of contigs in the valid bins