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Table 4 The validation results of the 10 identical genes in Fig. 1 using TCGA data

From: Using machine learning to identify gene interaction networks associated with breast cancer

Gene

logFC

logCPM

p value

p-adjust

LEPR

-2.52777

5.193642

1.65 × 10–39

8.38 × 10–38

LEP

-5.98334

7.009349

2.35 × 10–32

5.20 × 10–31

T-cadherin

-1.17561

4.687897

7.96 × 10–23

6.45 × 10–22

IFI30

0.872733

-0.95925

8.69 × 10–11

2.42 × 10–10

UCP2

0.827575

6.632093

1.06 × 10–9

2.71 × 10–9

PPARD

0.328611

4.92447

1.74 × 10–6

3.41 × 10–6

XRCC6

0.276328

7.708723

3.52 × 10–6

6.70 × 10–6

GPR30

-0.79614

2.56532

0.000122

0.000203

RETN

0.10441

-3.79534

0.683576

0.714306

Visfatin

-0.01691

6.395228

0.866491

0.881913

  1. logFC, log2 fold-change; logCPM, log2 counts-per-million