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Table 3 Network statistics results when using methods #2, #3, and #4 in sea bass, mouse, and human transcriptomic data

From: Improved biomarker discovery through a plot twist in transcriptomic data analysis

 

Network statistics

Method #2

WGCNA

Method #3

DEGs + WGCNA

Method #4

WGCNA + DEGs

Dicentrarchus labrax

No. of nodes

638

291

365

No. of edges

180,759

6059

98,783

Average no. of neighbors

480.7

42.3

263.42

Characteristic path length

1.37

2.35

1.66

Network heterogeneity

0.34

0.68

0.77

Mean degree

480.7

41.6

263.42

Max degree

720

135

349

Max betweenness

0.003

0.07

0.03

Mus musculus

No. of nodes

2257

2697

1661

No. of edges

1,016,156

377,169

798,757

Average no. of neighbors

903,648

280.21

964.1

Characteristic path length

1.66

2.39

1.43

Network heterogeneity

0.563

0.865

0.365

Mean degree

900.4

105.2

964.1

Max degree

1867

327

1556

Max betweenness

0.003

0.02

0.002

Homo sapiens

No. of nodes

558

48

481

No. of edges

5632

382

3375

Average no. of neighbors

20.2

15.9

14.0

Characteristic path length

2.4

1.7

2.2

Network heterogeneity

1.88

0.72

2.3

Mean degree

20.2

15.9

14.03

Max degree

309

42

309

Max betweenness

0.25

0.09

0.39