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Table 4 Top 96 Genes reported in Khan et al. (2001)

From: Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering

Rank

Image ID

Gene ID

Rank

Image ID

Gene ID

1

296448

IGF2

49

788107

AMPHL

2

207274

IGF2

50

784593

EST

3

841641

CCND1

51

756556

C1NH

4

365826

GAS1

52

208718

ANXA1

5

486787

CNN3

53

308231

EST

6

770394

FCGRT

54

486110

PFN2

7

244618

EST

55

21652

CTNNA1

8

233721

IGFBP2

56

377671

ITGA7

9

43733

GYG2

57

745343

REG1A

10

295985

EST

58

241412

ELF1

11

629896

MAP1B

59

504791

GSTA4

12

840942

HLA-DPB1

60

841620

DPYSL2

13

80109

HLA-DQA1

61

859359

PIG3

14

41591

MN1

62

45542

IGFBP5

15

866702

PTPN13

63

80338

SELENBP1

16

357031

TNFAIP6

64

45291

DRPLA

17

782503

EST

65

323371

APP

18

377461

CAV1

66

897788

PTPRF

19

52076

NOE1

67

377731

GSTM5

20

811000

LGALS3BP

68

784224

FGFR4

21

308163

EST

69

293500

EST

22

812105

AF1Q

70

767183

HCLS1

23

183337

HLA-DMA

71

297392

MT1L

24

714453

IL4R

72

325182

CDH2

25

298062

TNNT2

73

1435862

MIC2

26

39093

MNPEP

74

377048

EST

27

212542

EST

75

814260

FVT1

28

204545

EST

76

784257

KIF3C

29

383188

RCV1

77

42558

GATM

30

82225

SFRP1

78

814526

HSRNASEB

31

44563

GAP43

79

839736

CRYAB

32

289645

APLP1

80

395708

DPYSL4

33

324494

HSPB2

81

416959

NFIB

34

563673

ATQ1

82

364934

DAPK1

35

1473131

TLE2

83

868304

ACTA2

36

1416782

CKB

84

755599

IFI17

37

417226

MYC

85

246377

EST

38

878280

CRMP1

86

291756

TUBB5

39

812965

MYC

87

809901

COL15A1

40

122159

COL3A1

88

769959

COL4A2

41

609663

PRKAR2B

89

796258

SGCA

42

461425

MYL4

90

854899

DUSP6

43

1469292

PIM2

91

755750

NME2

44

809910

1-8U

92

292522

EST

45

824602

IFI16

93

308497

EST

46

245330

IGF2

94

813266

FHL1

47

135688

GATA2

95

200814

MME

48

1409509

TNNT1

96

768370

TIMP3

  1. List of 96 genes selected by Khan et al. using a neural network based method.