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Table 1 Areas under the ROC curves for different relationships obtained by each method

From: Distance correlation application to gene co-expression network analysis

Type of association

Sampling number

Pearson

Spearman

MIC

Dcorr

Independent in macrophage

15

0.497640

0.490286

0.452818

0.473846

30

0.497310

0.490880

0.466964

0.476830

60

0.471582

0.455186

0.441598

0.427666

Linear in liver

15

0.885432

0.870752

0.777636

0.876410

30

0.978370

0.977436

0.894208

0.974430

60

0.999530

0.999334

0.967184

0.999214

Power function in macrophage

15

0.951840

0.879982

0.812880

0.958504

30

0.996426

0.983466

0.953426

0.997150

60

1.000000

0.999616

0.995276

0.999992

Threshold in macrophage

15

0.639518

0.614368

0.642340

0.730636

30

0.739068

0.724708

0.833202

0.871750

60

0.890084

0.872332

0.946704

0.976500

Complex in liver

15

0.580804

0.546426

0.636092

0.816852

30

0.559342

0.567496

0.860154

0.930690

60

0.533458

0.626920

0.955248

0.991334

Independent in cervical cancer

15

0.488086

0.486846

0.447234

0.476932

30

0.486354

0.484166

0.468006

0.457722

60

0.467092

0.458260

0.408864

0.389114

Linear in cervical cancer

15

0.867518

0.864164

0.777916

0.861502

30

0.974396

0.980996

0.889826

0.975538

60

0.999226

0.999606

0.964436

0.999472

Power function in cervical cancer

15

0.957340

0.903698

0.840232

0.952058

30

0.997856

0.985916

0.959978

0.997838

60

1.000000

0.999926

0.996460

0.999998

Parabolic in cervical cancer

15

0.564414

0.574200

0.557816

0.641100

30

0.556910

0.643414

0.714194

0.744158

60

0.531748

0.756100

0.831724

0.877858