Table 2 Details of gene microarray data.

From: A multi-classification deep neural network for cancer type identification from high-dimension, small-sample and imbalanced gene microarray data

Datasets

#Samples

#Classes

#Features

IR

Classes

Brain Tumor1

90

5

5920

15

Medulloblastoma (Me), Malignant Glioma (NG), AT/RT, Normal Cerebellum (NC), PNET

Brain Tumor2

50

4

10,367

2.14

Classic Glioblastomas (CG), Classic Anaplastic Oligodendrogliomas (CAO), Non-classic Glioblastoma (NG)

9_Tumors

60

9

5727

4.5

NSCLC, Colon, Breast, Ovary, Leukemia, Renal, Melanoma, Prostate, CNS

11_Tumors

174

11

12,533

4.5

Ovary, Bladder/ureter, Breast, Colorectal, Gastroesophagus (Ga), Kidney, Liver, Prostate, Pancreas, Lung Adeno (LA), Lung Squamous (LS)

Leukemia 1

72

3

11,224

4.22

ALL B-cell, ALL T-cell, AML

Leukemia 2

203

3

12,600

1.4

AML, ALL, MLL

Lung Cancer

203

5

12,601

23.17

Adeno, Normal, Squamous, COID, SMC

SRBCT

83

4

2308

2.64

EWS, RMS, BL, NB