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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.