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Table 3 Modularity, Q, of PPI networks detected by different module detection algorithms

From: Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules

Tax id

\(D_{M_{pearson}}\phantom {\dot {i}\!}\)

\(D_{M_{spearman}}\phantom {\dot {i}\!}\)

\(D_{{sp}_{pearson}}\phantom {\dot {i}\!}\)

\(D_{sp_{spearman}}\phantom {\dot {i}\!}\)

Fast greedy

Label propogation

Multilevel

Spinglass

Walktrap

House mouse

0.4903

0.4168

0.4281

0.3999

0.5647

0.4578

0.6066

0.6239

0.5265

Norway rat

0.5061

0.2901

0.4985

0.4948

0.6608

0.5089

0.6682

0.6683

0.5951

Candida albicans SC531

0.4571

0.4629

0.4625

0.4629

0.4757

0.428

0.4757

0.4728

0.4689

Schizosaccharomyces pombe 972h

0.1669

0.1673

0.1005

0.128

0.2396

3e-04

0.2516

0.268

0.1545

Plasmodium falciparum 3D7

0.4775

0.4576

0.4713

0.466

0.5171

0.0066

0.5222

0.5396

0.3505

Arabidopsis Thaliana

0.6635

0.6004

0.5824

0.5781

0.6893

0.6977

0.7296

0.742

0.6822

Saccharomyces cerevisiae S288c

0.2108

0.2055

0.0399

0.0283

0.2557

1e-04

0.2532

0.2741

0.2221

Caenorhabditis elegans

0.5141

0.5087

0.5023

0.4989

0.6042

0.1872

0.6106

0.6231

0.5268

Drosophila melanogaster

0.4509

0.4491

0.4124

0.4238

0.471

0.2608

0.5232

0.5307

0.3865

Homo sapiens

0.2045

0.0898

0.0708

0.0655

0.2877

1e-04

0.3498

0.3612

0.253

Average modularity

0.4141

0.3648

0.3568

0.3546

0.4765

0.2547

0.4990

0.5103

0.4166

  1. The bold values show two highest modularities of the modules predicted by module detection algorithms