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Table 1 Description of the datasets used in this study

From: Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data

#

Cancer

No. of tumour samples

No. of normal samples

1

Bladder urothelial carcinoma (BLCA)

408

19

2

Thyroid carcinoma (THCA)

501

59

3

Cervical and endocervical cancers (CESC)

304

3

4

Cholangiocarcinoma (CHOL)

36

9

5

Colon adenocarcinoma (COAD)

458

41

6

Esophageal carcinoma (ESCA)

184

13

7

Glioblastoma multiforme (GBM)

153

5

8

Thymoma (THYM)

120

2

9

Head and neck squamous cell carcinoma (HNSC)

520

44

10

Kidney chromophobe (KICH)

66

25

11

Kidney renal clear cell carcinoma (KIRC)

533

72

12

Kidney renal papillary cell carcinoma (KIRP)

290

32

13

Liver hepatocellular carcinoma (LIHC)

371

50

14

Lung adenocarcinoma (LUAD)

515

59

15

Lung squamous cell carcinoma (LUSC)

501

51

16

Pancreatic adenocarcinoma (PAAD)

178

4

17

Uterine corpus endometrial carcinoma (UCEC)

176

35

18

Pheochromocytoma and paraganglioma (PCPG)

179

3

19

Rectum adenocarcinoma (READ)

94

10

20

Sarcoma (SARC)

259

2

21

Skin cutaneous melanoma (SKCM)

103

1

22

Stomach adenocarcinoma (STAD)

415

37