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Table 5 Stability of gene selection

From: Microarray-based cancer prediction using single genes

Dataset

Classifier

The genes selected and their occurrence percentages across the CV loop

Melanoma

SGC-t

200965_s_at (99%), 213050_at (1%)

 

SGC-W

217906_at (92%), 218552_at (4%), 218996_at (1%), 219343_at (1%), 221577_x_at (1%), 221882_s_at (1%)

Breast Cancer 1

SGC-t

259466 (92%), 291660 (5%), 950574 (3%)

 

SGC-W

259466 (98%), 291660 (2%)

Brain Cancer

SGC-t

J02611_at (95%), X53331_at (5%)

 

SGC-W

J02611_at (93%), X67951_at (3%), HG3543-HT3739_at (2%), X12794_at (2%),

Breast Cancer 2

SGC-t

AI868854 (65%), AK026899 (13%), AK026789 (12%), AK025709 (3%), AI240933 (3%), AF119844 (2%), AW006861 (2%)

 

SGC-W

N30081 (65%), AF119844 (23%), AI868854 (12%)

Gastric Tumor

SGC-t

W70254 (100%)

 

SGC-W

AA171606 (94%), W70254 (6%)

Lung Cancer 1

SGC-t

37210_at (66%), 198_g_at (15%), 40165_at (12%), 32254_at (5%), 41344_s_at (2%)

 

SGC-W

1252_at (100%)

Lung Cancer 2

SGC-t

33754_at (100%)

 

SGC-W

40936_at (98%), 33833_at (0.5%), 34320_at (0.5%), 37157_at (0.5%), 39640_at (0.5%)

Lymphoma

SGC-t

X76538_at (100%)

 

SGC-W

X76538_at (91%), D30655_at (9%)

Myeloma

SGC-t

33146_at (88%), 32546_at (12%)

 

SGC-W

32546_at (99%), 1071_at (1%)

Pancreatic Cancer

SGC-t

209596_at (98%), 206451_at (2%)

 

SGC-W

206451_at (45%), 209596_at (43%), 218498_s_at (6%), 219625_s_at (4%), 212058_at (2%)

Prostate Cancer

SGC-t

34452_at (100%)

 

SGC-W

34452_at (100%)

  1. Note: In Breast Cancer 1, the genes are denoted by Clone ID; in Breast Cancer 2 and Gastric Tumor, the genes are denoted by GenBank Accession number; in all the others, the genes are denoted by Probe Set.