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Table 7 Prostate cancer: the top 10 genes and pair-wise gene expression ratio used to discriminate the prostate cancer tissues. The threshold values T i for normal tissues are also provided. The list of top 25 genes can be downloaded from http://web.hku.hk/~daniely/microarray.

From: Classification between normal and tumor tissues based on the pair-wise gene expression ratio

Prostate Cancer-Original data

Prostate Cancer-Transformed data

Rank

No. on array

Probe no

gene info

Threshold Ri

discriminating efficiency* / %

Ref

Rank

gene number on array

Threshold Ri

discriminating efficiency* / %

Ref

1

6185

37639_at

Cluster Incl. X07732:Human hepatoma mRNA for serine protease hepsin

<115

86.3%

[18]

1

#5840/#6185

>0.37168

84.6%

[18,3]

2

10537

33121_g_at

Cluster Incl. AF045229:Homo sapiens regulator of G protein signaling 10 mRNA

<50

80.4%

[43]

2

#6185/#5840

<2.6905

84.6%

[18,31]

3

8965

37720_at

Cluster Incl. M22382:Human mitochondrial matrix protein P1 (nuclear encoded) mRNA

<238

80.4%

[44]

3

#7775/#205

<0.22928

82.7%

[50,51]

4

8554

36589_at

Cluster Incl. X15414:Human mRNA for aldose reductase (EC 1.1.1.2)

>35

79.4%

[45]

4

#8631/#10234

<5.4561

82.7%

[52,53]

5

9172

38406_f_at

Cluster Incl. AI207842:ao89h09.x1 Homo sapiens cDNA

>626

79.4%

[46]

5

#10749/#11942

<0.34585

82.7%

[54]

6

7067

40436_g_at

Cluster Incl. J03592:Human ADP/ATP translocase mRNA

<234

78.4%

[47]

6

#10234/#8631

>0.18328

82.7%

[52,53]

7

9850

40282_s_at

Cluster Incl. M84526:Human adipsin/complement factor D mRNA

>182

77.5%

[30]

7

#8554/#6185

>0.39823

82.7%

[18]

8

7066

40435_at

Cluster Incl. J03592:Human ADP/ATP translocase mRNA, 3 end, clone pHAT8 M96233 /FEATURE=expanded_cds/DEFINITION=HUMGSTM4A Human

<349

76.5%

[47]

8

#11942/#10749

>2.8914

82.7%

[54,55]

9

12153

556_s_at

glutathione transferase class mu number 4(GSTM4) gene

>152

76.5%

[48]

9

#205/#7775

>4.3614

82.7%

[50,51]

10

9093

38087_s_at

Cluster Incl. W72186:zd69b10.s1 Homo sapiens cDNA

>62

74.5%

[49]

10

#6185/#8554

<2.5111

82.7%

[18]

  1. *discriminating efficiency using only single gene as discriminating axis